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ORCIDBIBM 2025: Wuhan, China
- IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2025, Wuhan, China, December 15-18, 2025. IEEE 2025, ISBN 979-8-3315-1557-7
- Chenyan Wen, Yuan Zhang, Kai Hu:
DMANet: Integrating Dual Dynamic Token Mixer With Masked Separable Attention for Intracerebral Hemorrhage Segmentation. 1-6 - Dianyuan Li, Qinghua Li, Zhen Chao:
DTFNet: A Dual-Path Transformer-CNN Network for Robust Colorectal Polyp Segmentation. 1-6 - Xingjian Han, Shuohua Zhou, Ji Luo, Yang Li, Jiacheng Shi:
KGPrompt-DTA: Knowledge Graph Prompt-Enhanced Graph-Transformer for Drug-Target Binding Affinity Prediction. 1-8 - Yingtie Lei, Zimeng Li, Yupeng Liu, Xuhang Chen, Chi-Man Pun:
FS-RWKV: Leveraging Frequency Spatial-Aware RWKV for 3T-to-7T MRI Translation. 1-6 - Junjie Zhang, Weixiang Liu, Mengjian Zhang, Tao Yang, Kongfa Hu:
Tcmid-Miml: Tcm Intelligent Diagnosis With Multi-Instance Multi-Label Learning. 1-8 - Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Jingyu Li, Liyilei Su, Bingding Huang:
Diffusion-Based Pre-Training for Label-Efficient Abdominal Multi-Organ Segmentation. 1-6 - Weiyu Chen, Arnaud Delorme:
Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification. 1-8 - Yuzhou Zhu, Yongying Tan, Chenyue Song, Siqiao Li, Wei Zhang, Wenhao Jiang, Xiulai Wang:
MARS-Net: Medical Adaptive Reinforcement Steganography Network for Adaptive ROI Protection and Diagnostic Safety. 1-8 - Bo Xu, Baijiang Xu, Zihan Yuan, Hao Li, Yang Tian, Jinshi Yu, Zhehuan Zhao, Xu Yuan, Lin Lin:
Multi-View Community-Contrastive Graph Attention Network for Fmri-Based Alzheimer's Disease Classification. 1-8 - Zhangdi Song, Haoran Sun, Yufan Li, Runze Zhang, Jiaxing Chen:
Motif Analysis of the Horizontal Gene Transfer Networks in Human Gut Microbiota. 1-6 - Chaoyuan Zuo, Ritwik Banerjee:
HDCR: Cross-Lingual Medical Misinformation Detection Through Contrastive Claim-Evidence Reasoning. 1-6 - Jiaqi Wang, Shiqi Miao, Na Qin, Xizi Chen, Xiaolin Chen, Lida Zhu:
MA-HybridBTS: Modality-Aware Multi-Scale Hybrid 3D Conv-Transformer for Brain Tumor Segmentation. 1-6 - Yaning Pan, Ying Cheng, Yongxin Li, Qingqiu Li, Runtian Yuan, Rui Feng:
Fine-Grained Knowledge-Guided Alignment for Medical Vision-Language Pre-Training. 1-6 - Wenfeng Huang, Xiangyun Liao, Wei Cao, Wenjing Jia, Weixin Si:
Versatile and Efficient Medical Image Super-Resolution Via Frequency-Gated Mamba. 1-8 - Rui Tang, Zhangli Lu, Zhicun Zeng, Ruiqing Zheng, Min Zeng, Min Li:
DeepDICI: Accurately Predicting Drug-Ion Channel Interactions via Deep Learning with Dynamic Structural Features. 1-6 - Lei Zhang, Guangkun Chen, Sihong Liu, Ziling Zeng, Yu Zhang, Huamin Zhang, Hongtao Li, Lin Tong:
Research on Medication Rules for Xiongbi in Ancient Books of Traditional Chinese Medicine Based on Evidence-Based Medicine and Data Mining. 1-8 - Kyungchang Jeong, Gyuchan Jo, Sohui Shin, Dohyeon Yu, Hyeona Bae, Jihye Song, Se Jung An, Chaewon Shin, Sang-Hwan Hyun, Ji-Hoon Jeong, Euijong Lee:
ConTexT-Net: Multi-Representation Fusion of Contour and Texture Features for Robust White Blood Cell Classification. 1-8 - Yi Yang, Jia Liu, Wenzhou Zhong, Zhengxia Wang:
Refining Uncertainty Regions via Signal Response and Confidence-Aware for Polyp Segmentation. 1-8 - Mengjian Zhang, Xian Zhang, Tao Yang, Kongfa Hu:
Intelligent Inspection of Traditional Chinese Medicine: A Brief Review. 1-6 - Yangyang Shi, Yucong Zhang, Beiji Zou, Xiaoyan Kui, Zexin Ji, Zuheng Ming, Azeddine Beghdadi, Weixin Si:
From Global to Local: Mamba-Based Hierarchical Registration for Respiratory Lung Deformation. 1-8 - Jialin Li, Yiwei Ren, Kai Pan, Dong Wei, Pujin Cheng, Xian Wu, Xiaoying Tang:
UNiFS: Unified Multi-Contrast MRI Reconstruction via Frequency-Spatial Fusion. 1-6 - Jiazhen Ye, Manman Yuan, Can Yin, Weiming Jia:
HemiHeter-GNN: A Hemispheric Heterogeneity-Aware Graph Neural Network for Mild Cognitive Impairment Detection. 1-6 - Zhengze Liu, Nianmin Yao:
EICL: Entity-Aware In-Context Learning for BioNER via Hybrid Semantic-Terminological Retrieval. 1-6 - Tianzi Jiang:
Human Brainnetome Atlas Guided Neuromodulation Methods and Device for Brain Diseases. 1 - Xiaoyu Liu, Daoyuan Wang, Guanghui Li, Cheng Liang:
Prototype-Calibrated Multimodal Fusion with Relational Consistency for Spatial Domain Identification in Spatial Transcriptomics. 1-6 - Lijuan Wang, Chen Qiu, Liwei Xiao, Junjie Chen:
PepPFDPO: Multi-Objective Antimicrobial Peptide Generation using Pareto-Frontier Enhanced Direct Preference Optimization. 1-9 - Shanchen Pang, Zite Kan, Zhiyuan Zhao, Wenhao Wu, Hengtao Ding, Sibo Qiao:
MTA-Net: A Multi-Scale Temporal-Attentive Network with Semantic-Structural Fusion for Multi-Label ECG Classification. 1-6 - Min Zeng, Junyu Gao, Qianpei Liu, Yiming Li, Fuhao Zhang, Ruiqing Zheng, Min Li:
DP-GPT: GPT-Driven Gene Text Feature Embedding Fused with Gene Expression Data for Depression Prediction. 1-6 - Ling-Yun Dai, Cheng-Long Mi, Xu Wang, Juan Wang, Rong Zhu, Feng Li:
MGAMDA: Multi Source Similarity Fusion-Based Graph Convolutional Neural Network and Attention Mechanism Network for Predicting MiRNA-Disease Associations. 1-6 - Meiyun Zuo, Shao Chen, Xinyu Jiang:
FICMD-Med: A Novel Framework for Imbalanced Class and Modality Distributions of Medical Images. 1-6 - Kaiming Wang, Renda Han:
Efficient and Privacy-Preserving Verifiable Signcryption for Internet of Medical Things. 1-8 - Ying Xu:
From Technology Development to Mechanistic Study: Bioinformaticians Can Play a More Important Role in Biomedical Research. 2-3 - Jin-Wu Nam:
AI-Aided Design of Artificial RNA Molecules and Drugs. 4 - Yunlong Liu:
Decoding Complex Traits through Functional Genomics, Multi-Omics, and Machine Learning Models. 5 - Hao Gao, Yangyang Sun, Xiaoquan Su:
Concisemizer: An Asymmetric Redundancy-Removal Algorithm for Efficient Seed Sampling in Large-Scale Sequence Alignment. 6-11 - Yaokun Ji, Runze Ma, Shuangjia Zheng:
GeoMHCII: Pan-Specific MHCII Peptide Interaction Prediction with Evolutionary-Guided Geometric Deep Learning. 12-17 - Xiangyu Li, Ran Su, Liangliang Liu:
M3ST-DTI: A Multi-Task Learning Model for Drug-Target Interactions Based on Multi-Modal Features and Multi-Stage Alignment. 18-23 - Jinhong Li, Haitao Zou, Zhijin Wang, Shaoliang Peng:
Multi-Task Prompt-Aware Therapeutic Peptide Generation by Protein Language Model. 24-30 - Fan Li, Xiaotong Shi, Maojun Gan, Haitao Fu, Shushan Hu:
MOIRL: A Multi-Objective Inverse Reinforcement Learning-Driven Model for Therapeutic Peptide Generation. 31-38 - Weixin Liu, Rui Chen, Yang Li, Yuting Tan, Xue Zhong, Bingshan Li, Zhijun Yin:
Leveraging scHi-C Data for Integrated Single-Cell Omics Analysis. 39-44 - Jingwei Lu, Yifan Wu, Yiming Li, Qianpei Liu, Yang Gao, Min Zeng:
RNA3D-SSCL: Improving RNA Tertiary Structure Prediction via a Secondary Structure-Constrained Loss Function. 45-50 - Dayu Tan, Jing Chen, Xiaoping Zhou, Yansen Su, Kanglin Wang, Chunhou Zheng:
Contrastive Learning on Heterogeneous Graphs for Oligopeptide-Disease Prediction. 51-56 - Li Wang, Xiangzheng Fu, Tianyi Shi, Xiucai Ye, Tetsuya Sakurai, Yiping Liu:
GSToxi: Gated Cross-Modal Modeling With Graph-Sequence Encoders for Peptide Toxicity Prediction. 63-69 - Yujia Wang, Jihong Guan, Wengen Li, Shuigeng Zhou, Xuhong Wang:
BioBridge: Bridging Proteins and Language for Enhanced Biological Reasoning with LLMs. 70-75 - Yikai Wu, Jia Shu, Dezhi Wu, Yiming Qin, Tobias Plötz, Karin Hrovatin, Stephanie M. Linker, Alexander Vincent Hopp, Mathias Winkel, Philipp H. P. Harbach, Feng Tan:
DiffNB: Aligning a Nanobody Diffusion Model with Direct Preference Optimization. 76-81 - Hailin Xu, Hongxia Wang, Xinyan Li, Zihe Xu, Huanshui Zhang, Renmin Han:
OC-BA: Optimal Control-Enhanced Bundle Adjustment for Cryo-ET Image Alignment. 82-87 - Zilun Yan, Yanchao Xu, Kewei Gao, Yijun Bei:
CAMERA: Cross-Feature Aligned Model for Recognizing Top Antimicrobial Peptides. 88-95 - Zongyi Yang, Li Peng, Kaiqin Li, Yifan Chen, Wei Liang:
Universal Bioactive Peptide Recognition via Local-Aware Adaptive Global Sparse Attention. 96-101 - Zihao Yang, Huaping Li, Li Peng, Yifan Chen:
CircRNA-Drug Sensitivity Prediction Method Based on the Integration of Sparse Attention and Fourier-KAN. 102-107 - Fuhao Zhang, Chenxi Xia, Mingxin Dong, Min Zeng, Jian Zhang, Min Li:
Accurate Residue-Level Prediction of Linear Interacting Peptides with Auxiliary Multi-Scale Anchor Detection. 108-113 - Jinhong Zhang, Jian Liu:
MaskNeo: Advancing Neoantigen Immunogenicity Prediction with Adaptive Feature Masking. 114-119 - Zhuowen Zhen, Tengfei Ma, Jiaxuan Li, Dashun Zheng, Patrick Cheong-Iao Pang, Yiping Liu, Xiangxiang Zeng:
VQH-AM: Vector Quantization-Augmented Heterogeneous Graph Learning for Antibody Affinity Maturation Prediction. 120-125 - Gebremedhin Assefa Girmay, Qahtan Adnan Aljanabi, Lei Deng:
DeepBindAffinity: A ResNet-Augmented Hybrid CNN-Transformer for Protein-Ligand Binding Affinity Prediction. 126-129 - Jianxiu Cai, Xinpo Lou, Jielu Yan, Joel P. Arrais, Yapeng Wang, Shirley W. I. Siu:
xLSTM-AmPEP60: An xLSTM Model for the Minimum Inhibitory Concentrations Prediction of Antimicrobial Peptides. 130-133 - Zhuoyang Chen, Xuechen Zhang, Weichuan Yu, Qiong Luo:
A Comparative Performance Study of Protein Structure Alignment Tools on Homology Detection with Biological Relevance. 134-139 - Qian Deng, Lian Zhang, Tingting He, Haitong Yang, Chuanrong Wang:
A Robust Multimodal Framework for Protein Function Prediction Using Dual-Path Cross-Attention. 140-143 - Yue Guan, Xinxiang Wang, Xinze Li, Yu Liu, Aiwei Yang, Jiaxing Chen:
Accurate Protein-Ligand Affinity Prediction by Modeling Molecular Interactions. 144-149 - Yi Li, Wenwu Zeng, Xiaolan Xie, Feng Hu, Haitao Zou, Shaoliang Peng:
ChaiSite: An Accurate Method for Protein-Nucleic Acid Binding Site Prediction Based on a Complex Structure Prediction Network. 150-153 - Yahan Li, Zhijian Huang, Song Chen, Yucheng Wang, Min Wu, Lei Deng:
ASRSMA: Atomic-Scale and Structure-Based Modeling for RNA-Small Molecule Binding Affinity Prediction via Contrastive Pretraining. 154-157 - Xiaoyu Ling, Dongxi Li:
Equivariant Hierarchical Graph Interaction Network for Protein-Ligand Affinity Prediction. 158-161 - Hanbo Liu, Hao Zhang, Longyi Li, Xiyuan Mei, Enshuang Zhao, Yuheng Zhu, Yinfei Dai, Jingxun Cao, Dong Xu:
Tokenizing RNA Structures: A Discrete Generative Approach to Represent the RNA Folding Landscapes. 162-165 - Zhanhua Lu, Jiatai Yang, Weizhong Zhao, Xingpeng Jiang:
Predicting Nanobody Paratope via Fused Attention Mechanism and Distance-Guided Interaction Learning. 166-171 - Peng Qiu, Hanqi Feng, Mengchun Zhang, Barnabas Poczos:
AmpLyze: A Deep Learning Model for Predicting the Hemolytic Concentration. 172-177 - Haihe Shi, Zihan Zeng, Sheng Li:
Missing Data Imputation Method for Phylogenetic Trees Based on Singular Value Decomposition and Denoising Autoencoder. 178-181 - Jiawei Song, Yongqiang Gao, Xiaoyu Wang:
PFLGO: Federated Multi-Modal Learning for Accurate and Personalized Protein Function Prediction. 182-185 - Jiawen Tao, Haitao Zou, Guanting Li, Xiaolan Xie:
ProLig-GMAF: Graph Attention Network and Multi-Scale Attention Fusion for Protein-Ligand Affinity Prediction. 186-189 - Zhenyi Tu, Weikun Fan, Yanju Zhang:
Hyperloc: A Hypergraph-Enhanced Multimodal Framework for Multi-Label mRNA Subcellular Localization Prediction. 190-195 - Huaiyuan Wang, Changkun Jiang:
ProtAgent-ESM2: an Efficient Framework for Long Protein Sequences Modeling in Protein-Protein Interaction Prediction. 196-201 - Xinxiang Wang, Xinze Li, Yue Guan, Feiyang Chen, Pengxu Chen, Feng Yang, Jiaxing Chen:
SyAGram: Dual-Component Framework for Anti-Gram-Negative AMP Classification and Generation. 202-207 - Jiatai Yang, Zhanhua Lu, Weizhong Zhao, Xingpeng Jiang:
Predicting Protein-Peptide Binding Residues via Gated Fusion Mechanism and Domain-Guided Feature Optimization. 208-213 - Yazhe Zhai, Yifei He, Zhonghua Wan, Yu Xie, Jiaolong Qin, Ye Wu:
Cross-Species Cortical Parcellation via Homology Consensus Graph Representation Learning from Diffusion MRI Tractography. 214-217 - Hao Zhang, Yang Liu, Limin Yu, Zejie Wang, Yifei Liu, Maozu Guo:
Multi-Scale Feature Fusion Network for the Prediction of Protein-Protein Binding Affinity Changes upon Mutations. 218-223 - Tao Zhang, Yin Wang, Jungang Lou:
BPCI-DTI: Drug-Target Interaction Prediction via Structure-Sensitive Drug Graph Feature Extraction and Cross-Modal Interaction Fusion. 224-229 - Jun Zhang, Huanchao Feng, Hang Wei, Zexuan Zhu:
CFPLM: Improve Protein-RNA Interaction Prediction with a Collaborative Framework Powered by Language Models. 230-235 - Huiling Zhang, Ganzhang Zheng, Ziqi Xu, Zhenni Huang, Zihan Zhou, Haiyan Wang, Yanjie Wei:
MVmamba Deciphers Missense Variant Pathogenicity via Enhanced Bi-Mamba and Structure-Informed Protein Language Model. 236-241 - Yanxin Chen, Mingjie Yang, Xiang Zhang:
GRN-LGT: Predicting GRN Links with Gene Language Model and Graph Transformer. 242-247 - Xianchuan Chen, Huifang Yang, Jiayu Lu, Yutong Zhang, Ying Li, Bin Wang:
NSAMTG: Native Sparse Attention and Mixed-Topology Graph VAE for Cell Type Deconvolution in Spatial Transcriptomics. 248-253 - Zhihua Du, Weiliang Huang, Yanran Liu, Qiyi Chen, Rui Luo, Xubin Zheng:
BioLinkGPT: Predicting Missing TF-Target Gene Interactions Using Graph Neural Networks with Large Language Model. 254-259 - Amu Erermeri, Jiahui Wu, Zhaoxiang Liu, Haitao Fu:
DMFF-EPI: A Dual-Modality Feature Fusion Network with Contrastive Learning for Enhancer-Promoter Interaction Prediction. 260-267 - Zihao Guo, Shengkai Chen, Jie Jiang, Yuting Qu, Yuzhou Wu, Ju Xiang:
Predicting miRNA-Disease Associations by Multikernel Learning and Relational Graph Convolutional Neural Network. 268-273 - Xingli Guo, Yaxuan Hu, Yuxuan Hu, Bingbo Wang, Xiaotai Huang, Lin Gao:
Functional Module Identification in Spatial Cellular Communication Networks via Variational Graph Autoencoder. 274-279 - Wenying He, Yaowei Zhu, Rentao Zhang, Haolu Zhou, Yude Bai, Fei Guo:
LGATFormer: A Dual-Path Model Combining Line Graph Attention and Transformer for Gene Regulatory Network Inference. 280-285 - Xiaowen Hu, Pan Zhang, Min Wu, Guangdi Li, Zizhang Sheng, Lei Deng:
MutDTA: Interpretable Transfer Learning for Predicting Mutation Effects on Drug Binding Affinity in Viral Proteins. 286-291 - Siyi Huang, Wenfei Fu, Ming Yi, Yuan Zhu:
TPLN: Cell-Type-Specific Gene Regulatory Network Inference Based on Poisson Log-Normal Model. 292-297 - Jipu Jiang, Mengqin Tan, Guihua Duan, Cheng Yan:
HyCoMiLoc: Prediction of miRNA Subcellular Localization Based on Hypergraph Convolution and Contrastive Learning. 298-303 - Xuanwei Lin, Xiaotang Wang, Peng Zhang, Ximeng Liu, Yongqi Zhang, Hao Li:
MICA: Deciphering Gene-Peak Interactions via Interpretable Bilinear Attention Learned from Cross-Modal Generation. 304-311 - Bingyao Lin, Tingzhi Deng, Xiaobing Huang, Ying Wang:
PhyMicroNet: Inferring Directed 'Species Interactions in Microbiomes from Longitudinal Abundance Data Using Physics-Informed Neural Networks. 312-317 - Ting Lu, Yimiao Feng, Ruoyin Zhang, Yingfan Rui, Jie Zheng:
Prompt-Driven Context-Aware Prediction of Cell Line-Specific Synthetic Lethality via Biomedical Large Language Models. 318-324 - Wei Luo, Ying Liu, Lei Yang, Miaojin Xie, Pingjian Ding, Lingyun Luo:
iEnhancer-Fusion: Integrating Sequence Semantics and DNA Breathing Dynamics for Enhancer Identification and Strength Classification. 325-332 - Qinyu Mao, Zhangyi Huang, Xinqiang Wen, Jianyi Hu, Ju Xiang, Xiangmao Meng:
Construction of Multiple Dynamic Differential Protein Interaction Networks for Identifying Disease Genes. 333-338 - Sisi Ou, Wenhao Song, Jinru Li, Songye Gao, Yuxiang Ma, Xiaohu Shi:
ProXTalk: A pLLM-Driven Dual-Stream Framework for Inter-Protein PTM Crosstalk Prediction. 339-344 - Xin Wang, SiCheng Xiang, Yuhai Zhao, Qiaoming Liu, Benzhi Dong, Guohua Wang:
HGANTLDA: A Hybrid Framework Integrating Sequence Language Modeling and Heterogeneous Graph Attention for lncRNA-Disease Association Prediction. 345-352 - Guishen Wang, Handan Wang, Honghan Chen, Chen Cao, Xiaowen Hu:
MMDDI-GDSS: Multi-Modal Feature Fusion Drug-Drug Interaction Event Prediction Model. 353-358 - Zhenpeng Wu, Siyang Xiao, Jianliang Gao:
AutoGRAD: An Automated Gene Regulatory Network Inference Framework Based on Graph Anomaly Detection Paradigm. 359-364 - Ju Xiang, Yuting Qu, Zihao Guo, Xiangmao Meng, Ying Zheng, Yuzhou Wu:
Identifying MicroRNA-Disease Associations by Multiple Kernel Learning with Higher-Order Interactions. 365-370 - Jun Xiao, Yinwei Qu, Long Xu, Zhihang Wang, Xuechen Mu, Ying Xu:
OxStressNet: A Neural Network-Based Method for Quantitative Estimation of Oxidative Stress Levels. 371-378 - Lin Zeng, Shikui Tu, Lei Xu:
Enhancing piRNA Cleavage Prediction with piR-DANN: Integrating In Vitro and In Vivo Insights. 379-384 - Ran Zhang, Hanwen Xu, Tangqi Fang, Zhen Meng, Xuezhi Wang:
scMoE: Integrating Heterogeneous Single-Cell and Molecular Foundation Models Using a Mixture-of-Experts Framework. 385-390 - Kai Zhao, Zhipeng Gao, Xuehua Bi, Guanglei Yu, Yanan Zhang, Linlin Zhang:
OmiImp: A Cross-Omics Imputation Framework Based on Improved Generative Adversarial Network. 391-396 - Kuanli Zhu, Bingbo Wang, Jie Li, Xiaotai Huang:
NetCell: A Network-Based Approach to Identify Disease Associations of Individual Cells. 397-402 - Zheng Deng, Jingli Wu, Xiaorong Chen, Gaoshi Li:
Identification of Potential Cancer Driver Genes Based on Modular Dysregulated Genes. 403-406 - Rongqi Fan, Zhiyuan Dong, Zhen Tian, Pengyuan Li, Yufeng Ling, Haoran Zhu, Wei Song:
Drug-Target Interaction Prediction with Pretrained LLM Feature Learning and Cross-Modal Fusion Strategy. 407-412 - Huan Gu, Xunpeng Xiao, Yuling Wang, Chongyu Wang, Kuo Yang, Xuezhong Zhou:
Cross-Domain Multi-Modal Transfer Learning for Target Identification of TCM's Compounds. 413-416 - Junjian Guo, Dongxi Li:
CfCGRN: Counterfactual Causality-Aware Framework for Gene Regulatory Networks. 417-420 - Biao Huang, Pan Liu, Zhi Ye, Mingming Liu, Jiahao Zhang, Hengchuan Liu, Maoqiang Xie:
HMH-DTI: Prediction of Drug-Target Interactions Based on Multimodal and Heterogeneous Networks. 421-425 - Zhejun Kuang, Kangwei Geng, Jian Zhao, Lijuan Shi, Han Wang, Han Sun:
A Pan-Tissue Epigenetic Aging Clock Across the Human Lifespan: Robust Age Prediction from DNA Methylation Profiles. 426-431 - Yiyu Lin, Jiahui Wu, Sen Yang, Yan Wang:
UniProNet: A Universal PTM Site Prediction Model with an Equivariant Graph Neural Network and Multimodal Fusion. 432-437 - Zhonglin Liu:
A PBN-RL-XAI Framework for Discovering a "Hit-And-Run" Therapeutic Strategy in Melanoma. 438-444 - Guo Mao, Hiu Fung Yip, Lu Zhang:
IDCLP: A Deep Learning Framework for Predicting Chemical-Induced Gene Expression Profiles Through Multisource Data Integration. 445-448 - Yuxuan Nie, Yutong Song, Jinjie Yang, Yupeng Song, Yujue Zhou, Hong Peng:
DPASyn: Mechanism-Aware Drug Synergy Prediction via Dual Attention and Precision-Aware Quantization. 449-452 - Yu Zhang, Qiqi Bao, Yilong Luo, Zhoupeng Li, Mingyuan Ma, Enqiang Zhu, Jin Xu:
ComGAT-PPIS: A Community-Augmented Graph Attention Network for Protein-Protein Interaction Site Prediction. 459-462 - Jiyue Zhu, Yulian Ding, Yajun Liu, Yi Pan:
Integrating Molecular Large Model with Multi-View Representations for miRNA-Drug Association Prediction. 463-466 - Tong Zi, Mingjing Tang, Kui Jin, Yuxi Liu, Chunyan Li, Wei Gao:
DGATGRN: A Directed Graph Attention Network Framework for Inferring Gene Regulatory Networks from scRNA-Seq Data. 467-472 - Shubai Chen, Zehua Cao, Xin Qin, Xiaodong Yang:
Model Synthesizer: Synthesizing Disparate Models to Enhance Single-Cell Transcriptomics Models. 473-480 - Miao Cui, Xian Yu, Tao Jiang, Yadong Wang, Bo Liu, Guohua Wang, Yadong Liu:
RVC: A Real-Time Variant Calling Framework for Short-Read Sequencing Data. 481-486 - Jake Goode, Madhurika Madhu, Raeein Bagheri, Yan Yan:
Saliency-Aware Deep Residual Networks for Plant Phenotype Prediction. 487-492 - Xinyue Gu, Jiayi Dong, Jiahao Li, Fei Wang:
scDiformer: A Difference-Aware Transformer for Time-Series Single-Cell Gene Expression Forecasting. 493-498 - Yilin Li, Zeyu Xia, Li Fang, Weiming Xiang, Tao Tang, Yingbo Cui:
SVScope: Structural Variation Detection for Short Reads via Multi-Source Fusion and Visual Filtering. 499-504 - Yang Li, Weize Kong, Yadong Liu, Yadong Wang, Tao Jiang:
MethSV: A Long-Read-Based Framework for Profiling DNA Methylation in Structural Variation. 505-510 - Xiong Li, Hongwei Liu, Kun Rao, Juan Zhou, Haowen Chen:
STDSN: Domain Separation Network for Transfer Learning in Spatial Transcriptomics Deconvolution. 511-518 - Yang Li, Junlei Zhou, Zhenhua Yu:
Scdiffae: a Diffusion Autoencoder Framework for Clustering Scrna-Seq Data. 519-525 - Wenjing Ma, Xiaoqing Yu, Jiaying Lu, Jing Zhang, Xiang Zhou, Xuefeng Wang:
ScPanKD: Distilling Pan-Cancer Knowledge for Enhanced T Cell Subtypes Annotation in Single-Cell Transcriptomics Data. 532-537 - Xianglong Meng, Kai Hu, Xuefeng Cui, Fa Zhang:
CoDiST: Combining Unimodal Contrastive Denoising and Crossmodal Disentanglement for Spatial Transcriptomics. 538-543 - Chenchen Peng, Canqun Yang, Yifei Guo, Zeyu Xia, Tao Tang, Yingbo Cui:
GESA: A Transformer-CNN Hybrid Framework for Sequence-to-Graph Alignment in Highly Divergent Genomic Regions. 544-549 - Wanwan Shi, Bo Wang, Yahui Long, Ying Liu, Qiu Xiao, Yuting Bai, Xiaoyi Peng, Xiangtao Chen, Jiawei Luo:
High-Frequency-Aware Graph Integration for Subcellular Spatial Transcriptomics. 550-555 - Yunyun Su, Binlu Yang, Aoyun Geng, Yuxuan Chen, Zilong Zhang, Feifei Cui:
RTCDB: A Multi-Omics Database Supporting Research and Discovery in Rare Tumor Oncology. 556-561 - Zhaoxi Zhang, Lijuan Jia, Zhixiang Xu, Zengyou He, Zhong Wang, Xiaoya Fan:
MambaHM: High-Resolution Histone Modification Prediction from ATAC-seq and DNA Sequence. 562-569 - Yirui Zhou, Shiyang Long, Qingting Wei:
FIBRA: A Random-Accessible Compression Scheme for FASTQ Files via Fibonacci Encoding and Wavelet Tree Indexing. 570-577 - Yuansong Zhu, Chuanmin Wu, Yadong Wang, Tao Jiang, Yadong Liu:
DNAMatch: An Ultra-Fast and Memory-Efficient Deep Learning Framework for Aligning Ultra-Long DNA Fragments. 578-583 - Deyu Zhuang, Liyuan Shu, Xiaoyu Guan, Daoqiang Zhang:
MambaNano: Dual-Branch Mamba Framework Achieves Single-Molecule Resolution m6A Detection in Nanopore Direct RNA Sequencing. 584-591 - Chunzhong Li, Xiaohua Yu, Xiaohua Wu, Bing Wang, Tianyu Xia:
StDSGCL: Dual Spatially-Aware Graph Contrastive Learning for Identifying Spatial Domains in Spatial Transcriptomics. 592-597 - You Li, Jia Tian, Ke Wang, Jin Zhao:
Tribin: A Tri-Fusion Binning Strategy for Microbial Genome Recovery via Graph-Guided Clustering and Conflict-Aware Refinement. 598-601 - Yilong Lu, Si Chen, Songyan Gao, Han Liu, Xin Dong, Wenfeng Shen, Guangtai Ding:
Optimizing Mirror-Image Peptide Sequence Design for Data Storage via Peptide Bond Cleavage Prediction. 602-605 - Zongpei Ma, Cunmei Ji, Chuanxin Liu, Haoze Li, Yutian Wang, Chunhou Zheng:
sc3M: Multi-Level Graph Contrastive Learning with Min-Max Principle for Clustering scRNA-Seq Data. 606-609 - Omar Masri, Yuri Pirola, Cristina Borghi, Paola Bonizzoni, Raffaella Rizzi:
Minimizer Sketches of Lyndon-Fingerprints: A Novel Approach to Compute Overlaps Among Long Reads. 610-613 - Linjie Wang, Weidong Xie, Huixia Zhang, Dazhe Zhao, Wei Li:
Multi-Context Modeling with Spatial Adaptive Enhancement for Domain Identification. 614-618 - Chen Wu, Qibin Zhang, Bo Zhu, Hongming Xu:
MSFF-ST: A Multi-Scale Feature Fusion Model for Spatial Transcriptomics Prediction. 619-622 - Xinghai Zeng, Tao Tang, Shijie Li, Yingbo Cui:
FusionSVFilter: A Deep-Learning Based Fast Structural Variation Filtering Tool for Long Reads. 623-628 - Haifeng Zhang, Yi Zheng, Yajuan Du, Changxiang Mao, Tianxi Wu, Yu Zhang, XiaoHui Yuan:
A Novel Computational Approach to Transcriptome Mapping in Polyploid Species. 629-632 - Qahtan Adnan Aljanabi, Zhijian Huang, Gebremedhin Assefa Girmay, Zhengkang Wang, Yuanpeng Zhang, Lei Deng:
DSSA: Dual-Stream Synthetic Accessibility Framework for Organic Compounds. 633-638 - Shuang Chu, Guihua Duan, Cheng Yan:
Multi-Relational Graph Neural Network with Collaborative Constraints for Predicting Blood-Brain Barrier Permeability of Small Molecule Drugs. 639-644 - Junlin Ding, Shuting Jin, Yajie Meng, Qiangguo Jin, Junlin Xu:
TransFVAE: A Transformer-Based Flow Variational Autoencoder Model for Molecular Graph Generation. 645-651 - Chuanliu Fan, Zicheng Ma, Wenjie Du, Nan Yu, Jun Zhang, Ziqiang Cao, Yi Qin Gao, Guohong Fu:
LlaMol: A Unified Molecule Designer via Preference Ranking and Numerical Enhancement. 652-659 - Haitao Fu, Maojun Gan, Fan Li, Biyong Deng, Shushan Hu:
DMCRL: Deep Multi-View Contrastive Representation Learning for Drug-Target Affinity Prediction. 660-667 - Dengdeng Huang, Shikui Tu:
THFlow: A Temporally Hierarchical Flow Matching Framework for 3D Peptide Design. 668-673 - Yuxi Lin, Fukang Ge:
MolBB: Molecular Graph Generation via Latent Brownian Bridge Diffusion Model. 674-680 - Yanwei Ma, Yue Gou, Yiting Shen, Weizhong Zhao:
An Effective VAE-Based Framework with Triple-Stage Training Strategy for Generating Antibiotics Treating Salmonella. 681-686 - Xiaofei Nan, Xuezhen Liu, Xing You, Yongsheng Du, Chengxiang Ji, Jinshuai Song:
PGDiff: A Physics-Guided Equivariant Diffusion Model for Structure-Based Drug Design. 687-692 - Yining Qian, Xuewen Zhang, An-Yang Lu:
PAIR-VAE: Variational Pairwise Augmentation with Label Sharing for Generalizable Drug-Target Interaction Prediction. 693-698 - Kaiwei Sun, Yuwei Wang, Xin Deng, Jin Wang, Qiaosong Chen:
An Information Entropy Guided Multimodal Contrastive Learning Framework for Drug-Target Interaction Prediction. 699-705 - Zhe Wang, Zijing Liu, Chencheng Xu, Yuan Yao:
Phi-Former: A Pairwise Hierarchical Approach for Compound-Protein Interactions Prediction. 715-720 - Xingdan Wang, Diya Zhang, Chengwei Ai, Shiqiang Ma, Qiaozhen Meng, Junwen Duan, Fei Guo:
MultiPepDec: Decoupled Prompt Learning for Multi-Activity Therapeutic Peptides. 721-726 - Zhengkang Wang, Zhijian Huang, Yurong Qian, Yuanpeng Zhang, Yahan Li, Qahtan Adnan Aljanabi, Jinmiao Song, Lei Deng:
MVFDSP: A Multi-View Fusion Framework for Drug Side-Effect Frequency Prediction. 727-732 - Guishen Wang, Hui Feng, Honghan Chen, Zhitong Guo, Chen Cao, Xiaoxuan Gong:
TransFusionDR: A Framework for Drug Repositioning via Contrastive and High-Order Feature Fusion with Transformers. 733-738 - Zhihui Yang, Binfeng Liu, Kai Yan, Yingyu Huo, Haoliang Qi:
MICA-DTI: Multi-Modal Intra and Cross Attention for Drug-Target Interaction Prediction. 739-744 - Zhihui Yang, Dongjie Chen, Yusheng Yi, Yingyu Huo, Haoliang Qi:
MSCL-DTI: Multi-Modal Supervised Contrastive Learning for Drug-Target Interaction Prediction. 745-750 - Qiqi Zhu, You Wu, Haitao Fu, Zhi Li:
MLPET: a Multi-Level Prompt-Enhanced Transformer for Unified Molecular Property and Drug-Drug Interaction Event Prediction. 751-758 - Han-Wu Zhu, Hai-Cheng Yi, Zhu-Hong You:
TriM-DTA: a Tri-Modal Fusion Framework for Drug-Target Binding Affinity Prediction. 759-764 - Yu-Jiang Cheng, Juan Wang, Shang-Jun Yang, Yuan Zhang, Xiang-Zhen Song:
SWEC-DTA: Slide-Window Transformer and ECAttention Method for Predicting Drug-Target Binding Affinity. 765-768 - Yunhao Du, Xiaoli Lin:
Drug-Drug Interaction Prediction Based on Multi-Scale Feature Fusion. 769-772 - Puyu Han, Juntao Jiang, Luqi Gong:
RiemannGNN: A Riemannian Manifold-Driven Graph Neural Network for Drug Repositioning. 773-778 - Xiao Hou, Peifu Han, Shuang Wang, Tao Song:
MoFA-DTI: A Modality-Aware Feature Aggregation Network for Drug-Target Interaction Prediction. 779-782 - Dongyang Li, Yunjiong Liu, Ming Wang, Chao Che:
A Multi-Level Information Capture Model for Drug Synergy Prediction. 783-786 - Krinos Li, Lucas He, Xianglu Xiao, Shenglong Deng, Zijun Zhong, Yue Yang, Guang Yang:
Agnostic Biomolecular Binding Affinity Prediction via Frame Averaging Graph Transformer. 787-792 - Bin Liu, Boyun Shi, Yiheng Mu, Jin Wang, Xin Deng, Changhao Piao:
UMSDTI: Unifying Multiple Molecular and Sequence Perspectives for Drug-Target Interaction Prediction. 793-796 - Jiajie Xing, Yuan Zhang, Juan Wang:
HyperCausal: A Multi-Task Causal Learning Framework for Cancer Drug Response Prediction. 797-802 - Shangjun Yang, Yujiang Cheng, Ying Li, Yuan Zhang, Juan Wang:
PPDTA: Predicting Drug-Target Binding Affinity Using Pharmacophore Fingerprints and PPI Network. 803-806 - Richard Bailey, Pierangelo Veltri, Tamer Kahveci:
Identifying Interdependent Drug Resistance Genes in Large Scale Transcriptome. 807-812 - Ying Chang, Yue Yang, Dongxu Li, Ziwen Cui, Hengchuang Yin, Pengwei Hu, Lun Hu:
Improving Cancer Gene Identification via Mixture-of-Experts-Based Graph Representation Learning. 813-818 - Xinle Chang, Yang Yang, Yueran Li, Zhengcen Li, Haijin Zeng, Jingyong Su:
Gradient of White Matter Functional Variability via fALFF Differential Identifiability. 819-826 - Bang Chen, Lijun Guo, Houli Fan, Wentao He, Rong Zhang:
Soft-Evidence Fused Graph Neural Network for Cancer Driver Gene Identification across Multi-View Biological Graphs. 827-832 - Minghui Chen, Lei Yang, Haowen Zhu, Guohua Zhao, Xinjun Wang, Huiqin Jiang, Ling Ma:
GLC-TFNet: Global-Local Collaboration and Task-Driven Fusion Network for Glioma Segmentation in Multi-Modal MRIs. 833-838 - Yingyu Chen, Ziyuan Yang, Yongqiang Huang, Xulei Yang, Siyong Yeo, Yi Zhang:
Trustworthy Disentangled Framework for Multi-Label Medical Image Classification with Multimodal Refinement. 839-846 - Xi Chen, Lyuyang Tong, Bo Du:
PCLIM: Prototype-Based Category-Level Image-Text Multimodal Learning Method for Fetal Cardiac Ultrasound Imaging Analysis. 847-852 - Shuo Dai, Huan Yang, Songsen Yu:
ProFiMed: Prompt-Based Federated Medical Image Classification via Pruned Optimal Transport and Residual Cross-Correlation Self-Attention. 853-858 - Jin Deng, Tao Xu, Jianjun Zhang, Lechun Liu, Wei Kong:
Temporal-Spatial Sparse Canonical Correlation Analysis for Identifying DNA Methylation-Driven Longitudinal Imaging-Genetic Association Patterns. 859-864 - Ziye Deng, Ruihan He, Jiaxiang Liu, Yuan Wang, Zijie Meng, Songtao Jiang, Yong Xie, Zuozhu Liu:
Med-GLIP: Advancing Medical Language-Image Pre-Training with Large-Scale Grounded Dataset. 865-871 - Jian Ding, Dailin Li, Qinyu Han, Tengxiao Lv, Jian Wang, Hongfei Lin, Ling Luo, Yuanyuan Sun:
DALE: Semantically Disentangled LoRA Expert Mixture for Depression Detection in Psychiatric Dialogue. 872-877 - Yunyun Dong, Jianguang Li, Xiufang Feng, Yuhua Qian, Qixuan Han, Tao Wu, Pengfei Chen, Yixuan Zhan:
DILPA-DTA: A Dilated-Convolution Interaction and Laplacian Position-Aware Method for Predicting Drug-Target Binding Affinity. 878-884 - Zijun Dou, Yun Zhang, Baokun Zhang, Lingxiao Li, Xiaoyue Feng, Renchu Guan, Xiaosong Han:
Panacea: Enhancing Graph Learning with Multimodal Semantics for Drug Repositioning. 885-890 - Lin Fan, Xun Gong, Xinxin Li, Yafei Ou:
Bi-Directional Mutual Supervision for Adversarial Domain Adaptation in Medical Imaging. 891-896 - Weikun Fan, Zhenyi Tu, Yanju Zhang:
xLSTM-Stega: A Novel Framework for Secure Information Hiding in DNA Storage Systems. 897-904 - Weikun Fan, Zhenyi Tu, Yanju Zhang:
DNA-Stega: Biologically Plausible DNA Steganography Based on Variational Autoencoder and Distribution Copies. 905-912 - Shuai Geng, Yu Ao, Yonghui Li, Weili Shi, Yu Miao, Zhengang Jiang:
Ihaff-Net: Adaptive Frequency-Domain Fusion for Intracerebral Hemorrhage Segmentation. 913-920 - Weizhen Gu, Han Zhang, Mingjing Han:
scStarCorrect: A StarGAN-Based Adversarial Model for Reference-Guided Batch Correction in Single-Cell RNA-Seq Data. 921-926 - Renda Han, Xuhao Guo, Yihao Chen:
Medical Image Segmentation Pruning via Feature Group Clustering with Spectral Variance Rebalancing. 927-932 - Weiliang Han, Zhensong Wang, Jiajie Xing, Yuan Zhang, Jiao Wang, Juan Wang:
AFMCDR: An Adaptive Fusion Model to Predict Cancer Drug Responses Based on Hierarchical Feature Enhancement from Multi-Omics of Driver Mutations. 933-940 - Han Han, Mingliang Dou, Jijun Tang, Fei Guo:
MF-DocDDI: Drug Entity Multi-Feature Fusion for Document-Level Drug-Drug Interaction Relation Extraction. 941-946 - Lingli He, Kai Song, Sitan Qiao, Yabin Chen, Jiang Li, Lin Qi, Xin Wang:
Multi-Omics Data Fusion for Colorectal Cancer Molecular Subtyping Using Sparse Multiple Canonical Correlation Analysis. 947-954 - Yijun He, Jiale Li, Yuchen Zhang, Yuliang Pan, Fuhao Zhang:
piRNA-Disease Association Prediction via the Fusion of BERT and Graph Neural Network. 955-960 - Daoqi He, Qingchen Zhang, Guihua Tao:
DADRSurv: Dual VAE-RNN with Time-Attention for Multi-Omics Cancer Survival Analysis. 961-966 - Xiaocao Hu, Guangyu Zou:
Neural Graph Collaborative Filtering on Heterogeneous Network for Drug-Disease Association Prediction. 967-972 - Zhenyu Huang, Xianlai Chen, Taixiang Li, Xing Zhao, Ying An, Yunbo Wang:
HiGraphSum: Hierarchical Hypergraph-Based Dual-Stage Automatic Summarization of Discharge Summaries. 973-980 - Xiao-Tai Huang, Chen Chen, Jiayue Wang, Bingbo Wang, Xingli Guo, Lin Gao:
DCAM: A Deep Context-Aware Model for Predicting the Function of Genomic Regulatory Regions. 981-986 - Ruipeng Huang, Leiming Fang, Wenbing Li, Yuansong Zeng, Yuedong Yang:
Cellular-Resolution Reconstruction of Spatial Transcriptomics from Histology Images via Foundation Models and KANs. 987-992 - Bowen Ji, Jiaqi Huang, Zunnan Xu, Mingwen Ou, Ting Liu, Sen Zeng, Jun Zhou, Kehong Yuan:
TGS-LGP: Text-Guided Medical Image Segmentation Via Local-Global Perception. 993-998 - Wuguang Jiang, Min Zeng, Ju Xiang, Min Li:
MDDGCN: A Graph Convolutional Network-Based Framework for Identifying Depression-Related Pathogenic Genes. 999-1004 - Shuyue Jiang, Wenjing Ma, Shaojun Yu, Chang Su, Runze Yan, Jiaying Lu:
Integrating Epigenetic and Phenotypic Features for Biological Age Estimation in Cancer Patients via Multimodal Learning. 1005-1011 - Junjie Lan, Nizhuan Wang, Jin Deng:
A Dual-Graph-Driven Non-Negative Matrix Factorization Model for Single-Cell Omics Analysis. 1012-1017 - Dawei Li, Tienan Chen, Yongqiang Cui, Xiaowei Xu, Yiyu Shi:
MGS-EP: Mask Guided Segmentation of Regional Wall with Expert Prior Pre-Decoupling. 1018-1025 - Qinlong Li, Tianjiao Liang, Guanlin Zhu, Chengchang Pan, Honggang Qi:
CRLM-Pred: A Clinically-Validated Predictive Model Integrating Metabolic Host Factors and Radiomic Tumor Features. 1034-1041 - Pei Li, Chunlan Li, Bochen Shen, Zhiping Li, Jian Tang, Xiaohui Cheng:
Structured Gradient Importance-Based Clustered Federated Learning for Skin Disease Classification. 1042-1047 - Xiaoyan Li, Ruizhen Liu, Cuicui Jiang, Zijing Chen, Rebecca Lahr, YeHong Kuang, Liwen Xu:
A Multi-Modal Deep Learning Framework for Psoriasis Diagnosis by Integrating Unaffected Fingernail Morphology and Clinical Indicators. 1048-1053 - Jueming Li, Shengyuan Yang, Xianfang Tang, Qiang Zhu:
Relation-Aware Graph Transformer with Multi-View Consistency Alignment and Dynamic Fusion for Drug-Drug Interaction Prediction. 1054-1061 - Xingnan Li, Priyanka Rana, Tuba N. Gide, Nurudeen A Adegoke, Yizhe Mao, James S. Wilmott, Sidong Liu:
OS2CR-Diff: A Self-Refining Diffusion Framework for CD8 Imputation from One-Step Inference to Conditional Representation. 1062-1069 - Xin Li, Buchao Zhan, Jiangbo Zhang, Shankai Yan:
scCAVAE: Modeling Synergistic Interactions in Perturbation Responses via Attention and Hierarchical Supervised Contrastive Learning. 1070-1075 - Si-Zhe Liang, Lei Wang, Zhuhong You, Changqing Yu, Tailong Shi, Chen Jiang:
MTGCDA: Enabling Accurate CircRNA-Disease Association Prediction Through Transformer-Guided Multi-Source Graph Learning. 1076-1081 - Junyu Lin, Shanbin Li, Jiageng Chen, Xu Du, Atsuko Miyaji:
Efficient and Privacy-Preserving Inference for Medical Images via FHE-Enhanced Split Neural Networks. 1082-1089 - Liangliang Liu, Yi Guan, Yanming Li, Rujia Shen, Guowei Zheng, Chaoran Kong, Jingchi Jiang, Yi Lin:
T1D-MLLM: Multimodal Large Language Model and Cross-Scenario Dataset for Multi-Scenario Management of Type 1 Diabetes. 1097-1103 - Huaze Long, Shuting Jin, Junlin Xu, Zhiwei Xu:
A Conformation Enhanced Graph Attention Framework for Predicting Synergistic Drug Combinations. 1104-1111 - Shilun Luo, Hao Ye, Yufan Liu, Wenjie Zeng, Hongyu Zuo, Yuxin Jiang, Qingting Wei:
IBDPred: IBD Prediction Using an Enhanced Stacking Ensemble Model Based on Gut Microbial Abundance Profiles. 1112-1118 - Pengju Lyu, Haopeng Jing, Chenglin Liu, Yuanbo He, Yuxin Xie, Wenjian Liu:
ArbitraryFlow: Towards One Step Generative Biomedical Image Segmentation. 1119-1126 - Wenbo Ning, Fei Yuan, Shijie Guo, Xiaobo Liu, Yan Niu, Rui Cao, Xin Wen:
Dynamic Node Weight Aware Directed Hypergraph Network for Major Depressive Disorder Identification. 1127-1134 - Rui Niu, Xiaoying Kong, Xuequn Shang:
LoFT-TCR: A LoRA-Based Fine-Tuning Framework for TCR-Antigen Binding Prediction. 1135-1140 - Yijun Peng, Liangrui Pan, Jiadi Luo, Christopher Wang, Yuxuan Xiao, Qingchun Liang, Shaoliang Peng:
SpaceSeg: Spatially Feature-Aware Segmentation and Classification Model for Cell Nuclei. 1141-1148 - Huamei Qi, Chen Cao, Zhenzhen Rao, Lei Deng:
A Modular Framework for Multimorbidity Prediction with MNAR-Aware Imputation and Label-Enhanced Transformers. 1149-1154 - Huamei Qi, Yuchen Yan, Zhenzhen Rao, Lei Deng:
TabNet-Based Autoencoder Enhanced with Dynamic Masking for Multiple Imputation of Medical Table Data. 1155-1160 - Hang Qi, Ziyi Chen, Xutian Deng, Jianhui Zhao, Zhiyong Yuan:
Reinforcement Learning Based Autonomous Navigation System for Vascular Intervention Simulation. 1161-1166 - Yunzhi Qiu, Weiru Fu, Yumeng Yang, Ling Luo, Hongfei Lin:
Can Herpes Zoster Vaccine Reduce Alzheimer's Disease Risk? A KG and LLMS Synergistic Integration Approach. 1167-1172 - Yu Shao, Xinyu Wang, Mengru Ouyang, Chaoran Jia, Liang Zhao:
Time-Sequential Lung CT Image Dynamic Registration Model with Weakly Supervised Learning. 1173-1178 - Tailong Shi, Lei Wang, Zhuhong You, Changqing Yu, Si-Zhe Liang, Jiang Chen:
Predicting MiRNA-MRNA Interactions via Multi-Scale Feature Integration and Dual-Layer Graph Attention Networks. 1179-1184 - Lingtao Su, Gonglei Zhang, Zhenyu Cui, Yanlong Gong, Shiwei Zhao, Xuefeng Cui:
ICM-Prog: An Interpretable Framework for Breast Cancer Prognosis Prediction by Integrating Clinical and Multi-Omics Data. 1185-1190 - Lingtao Su, Yanlong Gong, Zhenyu Cui, Gonglei Zhang, Shiwei Zhao, Xuefeng Cui:
IMPDI: Integrating Multiple Dynamic Information for Protein Representation Learning. 1191-1196 - Dong Sui, Nanting Song, Zhehao Xu, Yacong Li, Maozu Guo, Gongning Luo, Kuanquan Wang, Henggui Zhang:
FMPNet: A Multi-Features Fusion Framework for Predicting Neoadjuvant Chemoradiotherapy Efficacy in Locally Advanced Rectal Cancer. 1197-1202 - Chenlan Sun, Zhengxia Wang, Qingchen Zhang, Jianbo Xu, Qikang Zhang, Yuxing Li:
GDST: A Graph Contrastive Learning Framework Based on Graph Diffusion for Spatial Domain Identification in Spatial Transcriptomics. 1203-1208 - Xianli Sun, Linghua Zhang, Peng Zheng:
Modeling Coupled Information and Health Behavior Propagation in Time-Varying Multilayer Networks Under Policy Regulation. 1209-1214 - Mengwei Sun, Chengwei Ai, Diya Zhang, Xiaoyi Liu, Qiaozhen Meng, Shiqiang Ma, Fei Guo:
MolInterAct: Multiscale Cross-Modal Interaction for Robust Molecular Representation Learning. 1215-1220 - Xing-Yu Tan, Mengmeng Wei, Zhengwei Li, Cheng-Wei Ruan, Shengli Li, Ruo-Ran Li, Lei Wang:
HGTMCDA: Predicting CircRNA-Disease Associations Using Heterogeneous Graph Transformation Based on Multi-Source Information Fusion. 1221-1226 - Yuting Tan, Yang Li, Rui Chen, Anshul Tiwari, Zhexing Wen, Xue Zhong, Zhijun Yin, Bingshan Li:
Integrating Single Cell RNA Sequencing Data and Protein Embeddings to Infer Cell-Cell Communication in Alzheimer's Disease. 1227-1234 - Zhixia Teng, Mingxin Yin, Di Liu, Guohua Wang:
Cancer Drug Response Prediction Via Cross-Modal Multilevel Homogeneous and Heterogeneous Feature Learning. 1235-1240 - Zhonghua Wan, Peng Wang, Yazhe Zhai, Yifei He, Yu Xie, Jiaolong Qin, Ye Wu:
Consensus Graph Representation Learning for Subcortical Parcellation on Diffusion MRI. 1241-1246 - Yu Wang, Jialuo Xu, Junming Li, Xuequn Shang, Jia Gu, Xingyi Li:
Multi-Task Learning Framework for Cancer Driver Gene Identification on Multi-Network and Multi-OMICS Data. 1247-1252 - Xiaoqi Wang, Chen Liu, Wenjie Du, Lingyun Song, Zilin Ren, Xuequn Shang:
PLMTox: Low-Rank Adaptation on Protein Language Models for Peptide Toxicity Prediction. 1253-1258 - Hao Wang, Cui-Xiang Lin, Si-Han Zhu, Hong-Dong Li:
MFC-GCN: Identifying Disease Driver Genes via Graph Neural Networks and Multi-Network Fusion Contrastive Learning. 1259-1264 - Yunsen Wang, Hao Gui, Ruoshan Kong, Feng Liu:
IRCI-Learning: An Iterative Reliability-Guided Framework for Context-Invariant Semi-Supervised Histopathology Image Segmentation. 1265-1271 - Tao Wang, Minzhu Xie:
GPK-DSP: A Graph-Based Method Integrating Prior Knowledge and Critical Gene Interactions for Anticancer Drug Sensitivity Prediction. 1272-1277 - Linping Wang, Jiarong Wu, Jinqiao Wang, Jiayi Zhang, Hongxing Xu, Keyi Xiong, Xiangqi Bai, Kaida Ning, Li C. Xia:
sxFusion: A Novel Single-Cell Clustering Tool Based on Feature Fusion and Co-Optimization of Low-Rank Representation. 1278-1283 - Huaiji Wang, Suixue Wang, Shilin Zhang, Weiliang Huo, Xiangjun Hu, Xiangfei Zhang, Qingchen Zhang:
An End-to-End Deep Reinforcement Learning Framework for 3D Reconstruction of Spatial Transcriptomics. 1284-1289 - Chunjiang Wang, Rui Yan, Kun Zhang, Zihang Jiang, Zhiyang He, Xiaodong Tao, S. Kevin Zhou:
KANTrust: A Multi-Omics Framework for Uncertainty-Aware Disease Subtyping. 1290-1297 - Jiajie Wang, Zhaozhao Su, Yongquan Xue, Yuxuan Luo, Liejun Wang:
LSDF-UNet: Lightweight Large-Small Network with Dual-Size Patch Frequency Aware for Medical Image Segmentation. 1298-1305 - Haiyan Wang, Biao Xue, Jiazhou Chen, Hongmin Cai:
Dual High-Order Random Walk Enhanced Adaptive Binary Multi-View Clustering. 1306-1312 - Mengmeng Wei, Shengli Li, Yue-Chao Li, Xinfei Wang, Cheng-Wei Ruan, Ruo-Ran Li, Lei Wang:
MuseCDA: Predicting CircRNA-Disease Associations Via Multi-Scale Structure Embedding. 1313-1318 - Huaijin Wen, Feiqiao Mao:
PathGPS: An Integrated Deep Learning and Machine Learning Framework for Multi-Pathogen Diagnosis Via Gene Pair Signatures. 1325-1331 - Yuehu Wu, Lei Wang, Zhengwei Li, Mengmeng Wei, Changchun Liu, Yi Wang:
A Novel Sparse-Aware Topology Reconstruction and Global Dependency Enhanced Method for Predicting Human Microbe-Disease Associations. 1332-1337 - Chaochen Wu, Meiyun Zuo, Lei Xie:
Zero-Shot Grounding of Histological Images Using Single-Cell Transcriptomic Profiles. 1338-1343 - Di Wu, Wenkai Ma, Wei Ji, Yun Li:
Enhancing Robustness in Speech-Based Parkinson's Disease Detection via Knowledge Distillation. 1344-1350 - Kaiyue Wu, Yaozhang Liu, Yu Hu:
DyClusterRL: Dynamic Cluster Number Determination via Reinforcement Learning for Multi-Omics Cancer Subtyping. 1351-1356 - Xingquan Xia, Guihu Zhao, Jinchen Li, Xinpan Yuan:
HCSeer2: A Deep Learning-Based Multi-Scale Modeling Framework for Predicting Cold and Hot Spots of Variants in the Human Exome. 1357-1362 - Zixuan Xiao, Tingzhi Deng, Xiaobing Huang, Ying Wang:
BGC Prediction on Minimizing Generalization Error Upper Bound by Collaborative Belief from Fused Biological Language Representations. 1363-1368 - Jiajie Xing, Yuan Zhang, Juan Wang:
SAGA-DRP: A Gradient-Guided Alignment and Momentum Prototyping Framework for Stable Cross-Domain Drug Response Prediction. 1369-1376 - Zicheng Xiong, Ruihua Cheng, Jie Zhang:
TSRST: A LongNet Transformer Model for Imputing Super-Resolution Spatial Transcriptomics. 1377-1382 - Mingda Xu, Yang Liu, Sensen Guo, Yuxin Liu, Chao Gao:
Enhancing Infectious Disease Forecasting via Epidemiology-Informed Adaptive Spatio-Temporal Graph Neural Networks. 1383-1390 - Jialiang Xue, Junlei Zhou, Yang Li, Zhenhua Yu:
scDDT: A Feature-Decoupling Conditional Diffusion Framework for Single-Cell Cross-Modality Translation. 1391-1396 - Yan Yang, Muheng Shang, Hongdong Li, Yulin Wang, Lei Du:
A Data-Driven Brain Imaging Quantitative Trait Mediation Effect Identification Method for Alzheimer's Disease. 1397-1402 - Yaning Yang, Yadong Fan, Yue Liu, Liangrui Pan, Shaoliang Peng:
MSI-GNN: A Graph Neural Network for Pathogenicity Prediction of Microsatellite Insertions. 1403-1410 - Wenjing Yu, Guofang Ma, Hang Lv, Zhigang Lin, Xiping Chen, Yanchao Tan:
DMAP: A Deep-Model Driven Multi-Agent Framework for Reliable Diagnosis Prediction. 1411-1416 - Li Yuan, Changchun Liu, Lei Wang, Mianshuo Lu, Shengli Li, Ruoran Li:
DDSGAE: Dual-Decoding Sparse Graph Autoencoder for Predicting CircRNA-Disease Association. 1417-1422 - Jun Yuan, Songquan Li, Rongbo Zhu:
FourierHAR: A Frequency-Time Dual Domain Approach for Wi-Fi CSI Data Based Human Activity Recognition. 1423-1428 - Zhongyu Zhang, Fenfang Tao, Tianzhu Xiang, Fang Zhao, Guosen Xie:
Graph Interaction Prompt Network for Few-Shot Medical Image Anomaly Detection. 1435-1442 - Wenran Zhang, Huihuan Luo, Linda Wei, Ping Nie, Yiqun Wu, Dedong Yu:
Dissecting the Dental-Lung Cancer Axis Via Mendelian Randomization and Mediation Analysis. 1443-1449 - Shuying Zhang, Jing Zhou, Ying Ji:
MAG-Net: A Multi-Task Deep Learning Framework for Thymic Tumor Diagnosis. 1450-1457 - Yizhi Zhang, Lei Fan, Zhulin Tao, Donglin Di, Yang Song, Sidong Liu, Cong Cong:
Cross-Stain Contrastive Learning for Paired Immunohistochemistry and Histopathology Slide Representation Learning. 1458-1463 - Yuan Zhang, Jiajie Xing, Yuwei Sun, Juan Wang, Shangjun Yang, Yujiang Cheng:
Disease-Gene Association Prediction via Hybrid Negative Sampling and Contrastive Leaming-Driven Variational Graph Auto-Encoder. 1464-1471 - Ge Zhang, Nian Liu, Jianlin Wang, Junwei Luo, Huimin Luo:
Multi-View Fusion with Knowledge Graph for Anticancer Drug Synergy Prediction. 1472-1479 - Yuchen Zhang, Bingzhe Zhao, Zhuoqun Fu, Yiming Han, Beidan Liu, Xiujuan Lei:
Synergistic Drug Combination Prediction via Graphormer and Drug-Cell Line Pair Graph. 1480-1486 - Juncai Zhang, Huazhen Huang, Jianbo Zhao, Yixin Ren, Yuzhong Peng, Ruxin Wang, Hao Zhang:
AdaMM: An Adaptive Multimodal Model with Learnable Weights for Protein-Ligand Affinity Prediction. 1487-1494 - Tong Zhang, Xiaoming Xu, Zekun Yin, Lifeng Yan, Yang Yang, Yijie Gao, Xiaohui Duan, Bertil Schmidt, Weiguo Liu:
RabbitTClust2: Fast, Scalable, and Versatile Clustering for Massive Genomic Datasets. 1495-1502 - Liang Zhao, Chuang Ding, Yu Shao, XinYu Wang, WeiJia Yan, Feng Ding:
A Multi-Path Ensemble Learning Framework with Dual-Pool Genetic Optimization for Immune-Related Adverse Events Prediction. 1503-1508 - Zhanhong Zhao, Minzhu Xie:
MIXA-DRP: Multi-modal Integration with Cross-Attention for Anticancer Drug Response Prediction. 1509-1514 - Yuanyuan Zheng, Zeming Chen, Yipan Song, Peilin Li, Weixiao Dai, Ruisheng Ran:
R-SSAE: Riemannian Manifold Sparse Siamese Autoencoder for Autism Spectrum Disorder Diagnosis via Functional Connectivity. 1515-1521 - Wenhao Zhou, Jiancong Xie, Yuedong Yang:
Interpretably Predicting Chemical Perturbation via Biologically Informed Visible Neural Network. 1522-1527 - Yijun Zhou, Qiyi Chen, Dian Meng, Yanran Liu, Jinchao Feng, Xubin Zheng:
SVP: Support Vector Gene Pair as Biomarker Selection for Breast Cancer. 1528-1533 - Haihua Zhu, Liangrui Pan, Christopher Wang, Jiadi Luo, Qingchun Liang, Shaoliang Peng:
GEMIL: A GELU-Enhanced Multiple-Instance Learning Model for Predicting Gene Mutations in Lung Cancer. 1534-1541 - Chenghao Zhu, Weiping Ding, Wei Zhang, Rui Zhou, Zhaohong Deng:
ADKcat: Enhanced Enzyme Turnover Number Prediction with Adaptive Data Augmentation and Dual Information Exploration. 1542-1549 - Xiaoshu Zhu, Fei Teng, Tiezheng Qiao, Letong Chen, Zhenzhong Zeng:
scSAGE: Combining Sparse Representation and Gene-Guided Clustering for Batch Effect Correction in scRNA-Seq Data. 1550-1555 - Zeyu Zou, Leonardo Howang Lin, Min Xu, Fei Wu:
MoST-GNN: A Morphology and Spatial Transcriptomics-Informed Graph Neural Network for Accurate Gene Expression Imputation. 1556-1563 - Aws Al Jumaily, Nicholas Aksamit, Yage Zhang, Mohammad Sajjad Ghaemi, Jinqiang Hou, Hsu Kiang Ooi, Yifeng Li:
SMORE-DRL: Scalable Multi-Objective Robust and Efficient Deep Reinforcement Learning for Molecular Optimization. 1570-1575 - Yuxuan Chen, Jiawen Li, Jiali Hu, Xitong Ling, Tian Guan, Anjia Han, Yonghong He:
Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology. 1576-1581 - Chen Chen, Weipeng Zhuo, Zhewei Su, Wentao Fan, Hongmin Cai, Weifeng Su:
Improving Fairness in Skin Cancer Diagnosis Via Feature Pattern Separating and Diverse Objective Optimization. 1582-1587 - Wei Chen, Qian Huang, Zezhen Ding, Jiongjia Li, Xuexin Chen, Ruichu Cai:
Improving Cognitive Decline Prediction in Alzheimer's Disease via a Novel Biomarker with Causal Interpretability. 1588-1591 - Zhi Chen, Beiji Zou, Xiaoyan Kui, Ziwei Zou, Jinming Duan:
Aligning Medical Images and Language Through Multimodal Medical Rationales. 1592-1597 - Jiarui Chen, Bo Liu:
A Plug-and-Play Discrepancy and Time Aware Block for Mortality Risk Prediction from Serial Electrocardiograms. 1598-1601 - Yiran Cheng, Zhuoyang Chen, Qiong Luo:
RapidAVA: Efficient All-vs-All Overlap Detection in HiFi Reads. 1602-1607 - Wenrui Cui, Hong Pang, Yan Yang, Muheng Shang, Hongdong Li, Lei Du:
Predicting Brain Age Based on Neuroimaging and DNA Methylation via A Multiomics Attention-Based Variational Autoencoder. 1608-1611 - Jin Deng, Siman Ye, Lin Chen, Ying Li:
A Graded Membership Constrained Joint Nonnegative Matrix Factorization Model for ScRNA-Seq Clustering. 1612-1615 - Jin Deng, Zhenhong Dai, Dongxu Cai, Ying Li:
Deep Self-Attention Enhanced Multi-Attribute Constrained Matrix Factorization for Exploring Imaging-Genetic Associations in Alzheimer's Disease. 1616-1619 - Pengcheng Deng, Kening Liu, Mengxi Zhou, Mingxi Li, Rui Yang, Chuzhe Cao, Beizhuo Li, Si Zou, Maojun Wang, Zeyu Zhang:
DPCformer: An Interpretable Deep Learning Model for Genomic Prediction in Crops. 1620-1623 - Chengjie Ding, Wei Zhang, Zhaohe Wu:
MLBC: Multi-Modal Learning Based Diagnosis of Neurodegenerative Disorder by Integrating Whole-Blood RNA Sequencing and Neuroimage Data with Biophysical Constraints. 1624-1628 - Zhe Dong, Zhi Lu, Renfei Shen, Hewang Nie, Jue Xiao, Junming Li, Songfeng Lu:
VSDA: Privacy-Preserving Verifiable Secure Distributed Aggregation for Multi-Center Clinical and Genomic Data. 1629-1634 - Zhe Dong, Zhi Lu, Yuanqing Feng, Shuai Guo, Zilong Wang, Yutong Wu, Songfeng Lu:
Bio-OFL: Biomedical Privacy and Auditable One-Shot Federated Learning. 1635-1640 - Xinyuan Dong, Hao Gao, Mengqi Liu, Yikang He, Yiqin Yao, Chi-Man Pun, Haolun Li, Feng Xu:
Refined Mamba-Based Lower Limbs Motor Estimator for Parkinson's Disease Diagnostic. 1641-1644 - Yu Du, Song Jiang, Xianjun Shen, Weizhong Zhao:
Frequency-Adaptive Analysis and Peak-Guided Attention for Drug-Target Interaction Prediction. 1645-1648 - Yuwen Fu, Xuehu Duan, Qinghao Meng, Jun Zhang:
CRAVS-Net: Complex Residual Attention-Based Variable Splitting Network for Accelerated p-MRI. 1649-1654 - Qi Gao, Xiangzhen Kong, Juan Wang:
Identifying Spatial Domains from Spatial Transcriptomics Using Graph Contrastive Learning with an Adversarial Mechanism. 1655-1658 - Haoran Gao, Shuo Zhang, Chenyang Lu, Zengyu Zhang, Qi Li, Yanan Zhang, Jian Shen, Bin Hu:
X2-Gait: A Framework for Dual-Level Interpretable Gait-Based Subthreshold Depression Recognition. 1659-1664 - Daohui Ge, Jiquan Zhao, Feng Li, Yuzhuo Yuan, Wentian Xin, Shasha Yuan:
TAGCL-DDI: Two-Stage Augmentation-Driven Graph Contrastive Learning for Drug-Drug Interaction Prediction. 1665-1670 - Jin Gu, Fei Xiong, Xinhao Gong, Hongru Zhu:
A Multi-Feature Fusion Framework for MDD Diagnosis Using Multi-Head and Channel Twin Self-Attention. 1671-1676 - Qizheng Hao, Fangjin Liu, Fumin Jia, Jian Pu:
VSFusion: Video-Sensor Multimodal Fusion with Gated Geometry Network for Freezing of Gait Detection in Parkinson's Disease. 1681-1686 - Yutong Hu, Ke Li, Haisheng Li, Qinchen Peng:
Denoising Complex Dental Meshes: A Self-Supervised Framework with Adaptive Topological Convolution and Orthogonal Attention. 1687-1691 - Shan Hu, Yuhan Jiang, Tingshun Xiong, Changhong Xiao, Ruiqing Jiang, Yiyun Chen, Bin Mei, Lianlian Wu, Zhongyuan Wang:
EndoCADx: A Real-Time LVLM-Based CADx System for Multimodal Diagnosis of Gastric Lesions in White-Light Endoscopy. 1692-1695 - Zhongyu Hu, Juan Wang, Guanglai Gao:
HiFusion-Pro: Geometric-Structural Aware Protein Function Prediction via Hierarchical Interaction Fusion and Multi-Task Learning. 1696-1699 - Zichen Huang, Liya Liu, Chenxin Di, Jingwen Chen, Qiwei Yang, Yaoqun Liu, Haoxuan Sun, Ahmed Elazab, Yongquan Zhang, Changmiao Wang:
ICH-PFNet: Prompt-Free Intracerebral Hemorrhage Segmentation via Convolutional Sparse Embeddings and Contrastive Semantic Consistency. 1700-1704 - Song Jiang, Yue Huang, Xianjun Shen, Weizhong Zhao:
Dual-Stream Hierarchical Mixed-Routing Graph Attention Network Integrating ReAct Agent-Driven Embeddings for Phage-Host Interaction Prediction. 1705-1708 - Avelyn Jing:
Mechanism-Aware GNN Framework for Predicting Pocket Dynamics in ABC Transporters Mediating Antifungal Resistance. 1709-1714 - Gyeongdeok Jo, Jonghun Kim, Nejung Rue, Hyunjin Park:
Harmonizing Multi-Domain Heterogeneity in Medical Imaging via Gaussian Mixture Model. 1715-1720 - Xin Li, Kaixiang Yang, Qiang Li, Zhiwei Wang:
Bidirectional Mammogram View Translation with Column-Aware and Implicit 3D Conditional Diffusion. 1721-1725 - Ying Li, Yuan Zhang, Shangjun Yang, Juan Wang, Xiangzhen Song, Weiliang Han:
EGSDRP: Enhanced Graph Attention Networks and Drug Substructures for Cancer Drug Response Prediction. 1732-1737 - Jiani Li, Zelan Li, Jianning Chi, Zhuming Bi:
MedCMCL-VLP: A Cross-Modal Dual-Phase Progressive Curriculum Learning Vision-Language Pre-Training Framework for Radiology Zero-Shot Classification. 1738-1742 - Xueyang Li, Zongren Wang, Yuliang Zhang, Zixuan Pan, Yu-Jen Chen, Nishchal Sapkota, Gelei Xu, Danny Z. Chen, Yiyu Shi:
H-CNN-ViT: A Hierarchical Gated Attention Multi-Branch Model for Bladder Cancer Recurrence Prediction. 1743-1748 - Minghui Li, Yuanhang Wang, Peijin Guo, Wei Wan, Shengshan Hu, Shengqing Hu:
HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction. 1749-1754 - Xiao Liang, Pei Liu, Cong Shen, Wei Liu, Juping Li, Jiawei Luo:
SpaMCI-DL: A Hybrid Deep Learning Framework for Integrated Identification of Domains and Spatially Variable Genes in Spatial Transcriptomics. 1755-1760 - Jiatai Lin, Jingxuan Zhou, Zhenwei Shi, Zaiyi Liu, Xiaojing Guo, Chu Han:
IPAU: Integrating Prototype, Affinity, and Uncertainty for Weakly-Supervised Histopathology Segmentation. 1761-1764 - Kepeng Lin, Qizhe Zhang, Rui Wang, Xuehai Hu, Wei Xu:
PlantBiMoE: A Bidirectional Foundation Model with Sparsemoe for Plant Genomes. 1765-1770 - Chuanxin Liu, Yutian Wang, Zongpei Ma, Cunmei Ji, Zongqiang Liu, Chunhou Zheng:
SPF-FS: A Self-Paced Framework Fusing Feature Selection and Clustering with Prior Knowledge for scRNA-Seq Data. 1771-1774 - Yanran Liu, Dian Meng, Xinlei Huang, Yidi Wang, Yijun Zhou, Shiwei Ruan, Yi Zhong, Yinghua Chen, Rui Luo, Xubin Zheng:
Predicting Gene Regulatory Relationship in Cancer Using LLM and Graph Neural Network from Known Regulations. 1775-1778 - Haozhe Luo, Ziyu Zhou, Ming Hou, Corentin Royer, Mauricio Reyes, Anjany Sekuboyina, Bjoern Menze:
DeViDe: Faceted Medical Knowledge to Enhance Vision Foundation Model Pretraining for Radiology. 1779-1782 - Hanwen Lv, Yuting Bai, Jiawei Luo:
Fine-Grained Cross-Attention Between Drug Structures and Genes for Perturbation Prediction. 1783-1786 - Weiling Lv, Zhiqiang Yao, Jin Li:
BMT-EpiPred: Bayesian Multitask Learning for Reliable Prediction of Small-Molecule Epigenetic Modulators. 1787-1790 - Yingpeng Ning, Yuanyuan Sun, Ling Luo, Yanhua Wang, Yuchen Pan, Hongfei Lin:
MedTrust-RAG: Evidence Verification and Trust Alignment for Biomedical Question Answering. 1791-1794 - Ugochukwu Okoro, Chinwe Ekenna:
Fetal Digital Twin for Drug Resistance Prediction in CYP3A7. 1795-1800 - Yunyi Qin, Ling Wang, Shang Wang, Donglin Xie, Jin-Xing Liu, Lili Han, Xinchun Cui:
DPCAT: A Novel Diffusion Probabilistic and Cross-Attention Based Transformer for Multi-Contrast MRI Super-Resolution. 1801-1804 - Rui Qin, Bailiang Zhao, Kuo Yang, Yue Wu, Peng Gao, Menghan Hu:
Clinically Interpretable Geometric Constraints for Optic Cup and Disc Segmentation. 1805-1808 - Ningyuan Shangguan, Yuansong Zeng, Wenbing Li, Yuedong Yang:
Drug Sensitivity Inference Through Foundation Model-Driven Contrastive Integration of Bulk and Single-Cell Omics. 1809-1812 - JiaShu, Tingyao Li, Zheyuan Wang, Dezhi Wu, Yiming Qin, Yihao Song, Yikai Wu, Tobias Plötz, Karin Hrovatin, Stephanie M. Linker, Alexander Vincent Hopp, Mathias Winkel, Philipp H. P. Harbach, Feng Tan:
MetaPrior: Meta-Learning Guided Prior Injection for Few-Shot Antibody Affinity Prediction. 1813-1818 - Tianze Sun, Jilong Guo, Aoxiang Song, Linhai Xie:
Synergnn: A Synergistic Graph Neural Network Fusing Database Knowledge and Cohort-Specific Patterns for Cross-Cohort Survival Analysis. 1825-1830 - Jiantao Tan, Peixian Ma, Zhiming Dai, Kanghao Chen, Ruixuan Wang:
Augmenting Continual Learning of Diseases with LLM-Generated Visual Concepts. 1831-1836 - Rui Tao, Ximiao Zhang, Chaoxiang Yang, Dehui Qiu, Hui Liu, Min Xu:
FMA-GEN: Controllable Multi-Conditional Few-Shot Diffusion for Medical Anomaly Generation and Detection. 1837-1840 - Xin Wang, Zebiao Zheng, Wei Qin, Kangrui Yu, Yangqi Hong, Yongqi Tang, Tiantai Wang, Lixin Liang, Bingding Huang:
NanoLAS 2.0: A Comprehensive Update on a Nanobody-Focused Platform with Advanced Visualization and Docking Simulation Features. 1841-1844 - Wei Wang, Tao Yang, Xin Wang:
A Novel Graph-Based Skip Connection Design for Hierarchical and Relational Feature Modeling. 1845-1849 - Tenglong Wang, Jiahao Yu, Xiaoming Liu, Shuxin Cao, Yuanjing Feng, Ye Wu:
Revitalizing Quantitative Imaging with a High-Quality Microstructural Codebook on Diffusion MRI. 1850-1853 - Shudong Wang, Yu Zhang, Wenhao Wu, Yunyin Li, Zheqi Song, Shanchen Pang:
COKTrans: A Cross-Omics Knowledge Transfer Framework Based on Hierarchical Fusion for Cancer Subtype Trustworthy Classification. 1854-1859 - Lei Wang, Zilu Zeng, Yan Wang, Zhidong Xue:
ProtSSSD: A Novel Approach for Intrinsically Disordered Protein Region Prediction Using Protein Language Model. 1860-1863 - Haibo Wang, Xiaodong Yue, Yufei Chen, Zhipeng Wei, Jie Shi, Zhenqian Cao:
Lesion-Aware Prostate DWI Synthesis Using Latent Diffusion. 1864-1867 - Liangjie Wang, Ning Jiang, Changzheng Yang, Wenxin Yu:
Uncertainty-Aware Multi-Branch Distillation for Label-Scarce Medical Image Segmentation. 1868-1872 - Zhipeng Wei, Xiaodong Yue, Yufei Chen, Zhikang Xu, Zheran Zhang, Zhenqian Cao:
Trusted Retinal Image Registration via Uncertain Keypoint Matching. 1873-1876 - Haoqing Wu, Chunping Ouyang, Ying Yu, Yongbin Liu, Pei Tang, Xv Luo:
STRMeR: Enhancing Medication Recommendation via Mining Complex Structures and Temporal Relationships from EHR. 1877-1880 - Wenjun Li, Anzheng Gao, Yiting Zhou, Xiwei Tang, Weijun Liang, Wanjun Ma:
Graph Neural Network with Transformer-Enhanced Embeddings for Drug-Target-Disease Association Prediction. 1881-1884 - Zhiwei Xiao, Jiejie Chen, Bin Wei, Xuewen Zhou, Xinrui Zhang, Ping Jiang:
ECG Arrhythmia Classification Using Associative Learning and Caputo-Enhanced Manta Ray Optimization. 1885-1890 - Tao Xie, Zexi Tan, Haoyi Xiao, Binbin Sun, Yiqun Zhang:
DE3S: Dual-Enhanced Soft-Sparse Shape Learning for Medical Early Time Series Classification. 1891-1896 - Shanruo Xu, Runkun Guo, Julio Castrillon, Han Li, Mark Kon:
DPAT: Dual-Path Alignment Transformer for Enhanced miRNA-mRNA Target Prediction via Cross-Modal Fusion. 1897-1902 - Mingzhi Xu, Tingting Yang, Tao Zhou, Qiang Chen, Shuo Wang, Yizhe Zhang:
Asymmetric Performance Profiling Using Foundation Models: Quantifying Reliability and Expert Capability in Medical AI. 1903-1908 - Dechen Xu, Jie Li, Li Zhou:
A Deep Transfer Learning Method Based on Multi-Perspective Feature Alignment for Cancer Drug Response Prediction. 1909-1912 - Jinming Xue, Bin Wang, Pingping Wang, Dongmei Niu, Benzheng Wei:
Mitigating Bias Catastrophic Inheritance in Medical Large Vision-Language Models with Logit Fairness Adjustment. 1913-1918 - Binyun Yang, Quan Zou, Yansu Wang:
UPDMIA: Unified Processing of Diverse Medical Imaging Data via a Multi-Channel EfficientNet Architecture. 1919-1924 - Zhi Yang, Lei Cheng, Haitao Gan, Ming Shi, Zhongwei Huang, Bo Cheng:
PKFA-GCN: Prior Knowledge-Guided Feature Alignment Graph Convolutional Network with Effective Connectivity for Alzheimer's Disease Classification. 1925-1928 - Ke-Ze Yu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang:
A Scalable and Unified Hierarchical Coarsening Hypergraph Framework for Single-Cell Multi-Omics Data Analysis. 1929-1932 - Yuzhuo Yuan, Yang Jin, Liwei Wu, Ping Wang, Feng Li, Daohui Ge:
ScCAF: A Cross-Omics Attention Fusion Framework for Single-Cell Multi-Omics Clustering. 1933-1936 - Xinpan Yuan, Bozhao Li, Chenbin Liu, Xinxue Li, Liujie Hua, Jinchen Li, Lin Wu, Guihu Zhao:
PBD: A Manually Curated Full-Chain Benchmark Dataset for Evaluating LLMs on ACMG PS3/BS3 Functional Evidence Acquisition. 1937-1940 - Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo:
Robust Prototype-Driven Patient Representation Enhancement for Disease Prediction. 1941-1946 - Chu-Xuan Zhang, Yue-Chao Li, Xinyuan Li, Zhu-Hong You, Yu-An Huang:
Unsupervised Cell Clustering in Single-Cell RNA Sequencing Data Using a Multi-Graph Transformer. 1947-1950 - Zequn Zhang, Jinlong He, Pengfei Li:
MLP-Based Vision Language Pre-Training for Medical Visual Question Answering. 1951-1956 - Ge Zhang, Maohua Qin, Jianlin Wang, Huimin Luo, Junwei Luo:
scPSNGCL: Single-Cell Graph Contrastive Clustering using a Pseudo-Siamese Network. 1957-1960 - Lingrong Zhang, Xuqi Sun, Yuxin Xia, Taigang Liu:
Polaris-Bind: Guiding the Prediction of Protein-Ligand Interactions from Global Recognition to Local Sites. 1961-1964 - Xukun Zhang, Hongzhi Liu, Zhonghai Wu:
Heterogeneous Knowledge and Global-Local Structure Integration Framework for Drug Repositioning. 1965-1969 - Zhihao Zhao, Yinzheng Zhao, Junjie Yang, Xiangtong Yao, Quanmin Liang, Shahrooz Faghihroohi, Kai Huang, Nassir Navab, M. Ali Nasseri:
CLAPS: A CLIP-Unified Auto-Prompt Segmentation for Multi-Modal Retinal Imaging. 1970-1973 - Lingxiao Zhong, Ziqi Yu, Xiao-Yong Zhang:
TG-VIT: Text-Guided Vision Transformer for WSI Classification of Sellar Region Tumors. 1974-1977 - Zhiping Zhou, Tong Yu, Yizhe Zhang, Wei-Shi Zheng, Ruixuan Wang:
Textual Prototype-Guided Continual Learning for Medical Image Classification. 1978-1983 - Zeyu Zhou, Javeed Muhammad Ahmad, Xiao Liu, Xinwei He, Jingbo Xia:
Graph-Level Anomaly Detection of Brain Connectivity with Structural Interpretation and Knowledge Distillation. 1984-1989 - Baisheng Zhou, Dongxi Li:
KANCurvNet: A KAN-Based Feature Fusion Network for Multi-Omics Survival Prediction. 1990-1993 - Yuheng Zhu, Xianyu Zhang, Enshuang Zhao, Yinfei Dai, Hanbo Liu, Longyi Li, Qiyuan Mei, Ning Xu, Jun Liu, Hao Zhang:
RBTN: A Spatio Temporal Graph Neural Network for Integrating Single Cell and Spatial Transcriptomics During Magnaporthe Oryzae Infection in Rice. 1994-1997 - Adeel Ahmed Abbasi, Hulin Kuang, Xinyu Li, Jianxin Wang:
Wavelet Multi-Dimensional and Mamba-Guided Semantic Graph Feature Fusion Network for Glioma Grading. 1998-2003 - Ying An, Ke Du, Xianlai Chen, Lin Guo:
SPG-Net: A Structure-Aware Spatiotemporal Graph Neural Network for Electrocardiogram-Based Myocardial Infarction Localization. 2004-2011 - Muhammad Ayoub, Hai Zhao, Dongjie Yang, Hongming Shan, Yifei Yang, Lifeng Li:
Re-Thinking the Nature of Planning for Safe and Personalized Treatment Management Planning Using Large Language Models. 2012-2017 - Zijie Bian, Jian Zhang, Kaibiao Lin, Shenbao Yu, Fang Yang:
Dual-Generator Augmentation for Imbalanced Fraud Detection on Heterogeneous Insurance Graphs. 2018-2025 - Zhengqing Cao, Yufei Chen, Anmin Liu, Xinhao Wen, Wei Fu:
Improving Long-Tailed Medical Diagnosis with Uncertainty-Aware Disease-Specific Expert Aggregation. 2026-2031 - Yankun Cao, Peng Xue, Baolin Sun, Hongtao Liu, Lina Xu, Jia Mi, Guangtao Zhai, Lizhen Cui, Zhi Liu:
TF-Fusion: Time-Frequency Feature Fusion for High-Quality Single-Angle Ultrasound Imaging. 2032-2037 - Xiang Chen, Chenyang Li, Jian Guan, Shankai Yin:
CM2FA: Cross-Modal Masked Fusion with Fine-Grained Attention for AHI-Level OSA Diagnosis Using ECG and SPO2. 2038-2043 - Haoyang Chen:
Reflect Then Reason: Iterative Reflection with Soft Reasoning Feature Enhancement for Medical Visual Question Answering. 2044-2050 - Hongzhao Chen, Hexiao Ding, Yufeng Jiang, Jing Lan, Ka Chun Li, Gerald W. Y. Cheng, Nga-Chun Ng, Yao Pu, Jing Cai, Liang-Ting Lin, Jung Sun Yoo:
REACT-KD: Region-Aware Cross-Modal Topological Knowledge Distillation for Interpretable Medical Image Classification. 2051-2058 - Yiran Chen, Shuo Yang, Yisu Liu:
Thinking Like a Cardiologist: Unifying Patient Context and Spatiotemporal Dynamics via Heterogeneous Graph. 2059-2065 - Dehua Chen, Yuxiao Chen, Yujiao Tao, Junjie Zhao, Weiyi Zhu:
InAngleNet: A Stereo Vision Framework for Precise and Non-Contact Venipuncture Angle Estimation. 2066-2073 - Zhengxuan Chen, Jie Gao, Kaiwen Yang, Tao Tan, Chan-Tong Lam, Yue Sun:
SHIELDNet: Multi-Region Fusion and Denoising for Enhanced rPPG Signal Extraction in Healthcare Monitoring. 2074-2079 - Junshi Cheng, Jiahui Chen, Ruisheng Ran, Bin Fang:
SPD-DFNet: A SPD Manifold Dual Flow Unsupervised Domain Adaptation Network for EEG Decoding. 2080-2087 - Wei Chi, Ying Zhang, Xiaolu Zhang, Mingyuan Ma, Jin Xu:
MA-SGNN: A Multi-view Adaptive Spiking Graph Neural Network for Event-based Tactile Recognition. 2088-2093 - Zheng Chu, Weiyun Li:
SimBP-PPG: A Conditional Diffusion Framework for High-Fidelity Simulation of PPG and Blood Pressure Time Series. 2094-2099 - Ziwen Cui, Muhammad Asif Ali, Huan Wang, Ruigang Liu, Wen Zhang, Di Wang:
Enhancing Drug-Drug Interaction Prediction via Drug-Centric Hierarchical Augmentation. 2100-2105 - Nanxi Deng, Jian Shen, Kang Wang, Wenbo Hu, Yanan Zhang, Rui Liu, Jingjing Zhou, Qunxi Dong, Bin Hu:
MS-DAAN: A Multi-Source Dynamic Adversarial Adaptation Network for EEG-Based Depression Recognition. 2106-2113 - Marwan Dhifallah, Yu Liu:
Chimera-3X: A Hybrid Cognitive Engine for Retrieval-Augmented Biomedical Consulting. 2114-2121 - Shuaipeng Ding, Mengnan Fan, Mingyong Li:
MMKPL-Seg: Knowledge Proxy Learning with Missing Modalities for Medical Image Segmentation. 2122-2129 - Keran Ding, Peng Qiao, Zhenglun Sun, Tongrui Hu, Yong Dou:
Rethinking Incision Segmentation with Geometry-Structure Aligned Polygon Prompt. 2130-2137 - Yao Du, Jiaxin Zhuang, Xiaoyu Zheng, Jing Cong, Limei Guo, Chao He, Lin Luo, Xiaomeng Li:
Beyond H&E: Unlocking Pathological Insights with Polarization Imaging. 2138-2143 - Zhiyuan Fan, Xianchao Guan, Yifeng Wang, Yongbing Zhang:
CA-GAN: Context-Aware Generative Adversarial Networks for Pathological Image Super-Resolution. 2144-2151 - Jinxiong Fang, Da-Fang Zhang, Kun Xie, Luyun Xu, Xia-An Bi:
Multi-Level Learning and Interactive Fusion Algorithm Combined with Large Foundation Models for Alzheimer's Disease Diagnosis. 2152-2157 - Tianzhi Feng, Chennan Wu, Yi Niu, Fu Li, Yang Li, Boxun Fu, Zhifu Zhao, Xiaotian Wang:
Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition. 2158-2165 - Weiru Fu, Yunzhi Qiu, Ling Luo, Jian Wang, Hongfei Lin:
CAKADE: Improving ADE Detection on Social Media with LLMs via Counterfactual Augmentation and Knowledge-Enhanced Instruction Tuning. 2166-2171 - Qiu Guan, Zhiqiang Yang, Dezhang Ye, Yang Chen, Xinli Xu, Ying Tang:
DB-MSMUNet: Dual Branch Multi-Scale Mamba UNet for Pancreatic CT Scans Segmentation. 2172-2178 - Haotian Guan, Tian Bai, Tao Zhang, Chuande Yang, Jingtong Zhao, Han Wang:
HyperDTI-Lite: Hyperbolic Geometry for Enhanced Drug-Target Interaction Prediction via Heterogeneous Feature Fusion. 2179-2186 - Fei Guo, Youpeng Deng, Wenjuan Li, Jiaqi Yang, Aihong Lu, Wu Fang:
Global and Local Attention Network for Automated Retinal Vessel Segmentation. 2187-2193 - Xiangyu Guo, Shuyi Lu, Zhiming Cui, Xiaojie Wang, Chuanxiang Yang, Guangshun Wei, Yuanfeng Zhou:
ConsMatch: A Semi-Supervised Segmentation Approach for Dental CBCT by Leveraging Geometric Information to Refine Pseudo-Labels. 2194-2199 - Lin Guo, Shangjin Yang, Ying An:
PSE-KANet: A Spectrum Enhanced Spline-Adaptive Network for Multi-Label ECG Classification. 2200-2205 - Yuzhen He, Junhong Cai, Geng Zhao:
Bootstrapping Large Language Models as Clinical Predictors for Multimodal Irregular Time Series. 2206-2212 - Hongyu He, Xu Tian, Min Li, Jin Liu:
Monitoring Respiratory Rate and Heart Rate Based on Multi-View Millimeter-Wave Radar. 2213-2218 - Jiawei He, Mingyi Jia, Zhihao Jia, Junwen Duan, Yan Song, Jianxin Wang:
ICA-RAG: Information Completeness Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis. 2219-2224 - Jiahui Hong, Siqing Li, Muqing Jian, Luming Yang:
Bidirectional Time-Frequency Pyramid Network for Enhanced Robust EEG Classification. 2225-2232 - Yishan Hu, Yan Qiang, Jun Zhao, Juanjuan Zhao, Baoping Jia:
DFEFNet: Dual Frequency Domain Enhanced Fusion by Physiological Synchronization for Facial Video-Based Physiological Measurement. 2233-2238 - Xifeng Hu, Jingchuan Wang, Yankun Cao, Weifeng Hu, Yiran Li, Zhi Liu, Yujun Li:
DiffSegMem: A Novel Conditional Diffusion and Dynamic Memory Propagation Strategy for Left Ventricular Segmentation. 2239-2244 - Die Hu, Xuelei He, Fengjun Zhao, Xiaowei He:
TPCL: A Tri-Modal Phase-Aware Contrastive Learning Framework for Multiphase CT, Clinical Data, and Medical Text Integration//. 2245-2252 - Yue Hu, Jianhong Cheng, Fei Liu, Jin Liu, Yurong Qian:
MViT-ARNet: A Lightweight Mixed Vision Transformer with Adaptive Residual-Enhanced Network for 3D Glioma MRI Segmentation. 2253-2258 - Yaxin Hu, Qian Zhou, Hua Zou, Fei Luo, Yuxuan Yang:
MSFP-Net: Multi-Scale Fusion of SAM-Derived Priors for Medical Image Segmentation. 2259-2264 - Yong Hua, Xuan Yang:
Probabilistic Image Registration Framework Using Self-Normalized Importance Sampling with Variance Reduction. 2265-2272 - Lan Huang, Ziqi Zhao, Yinglu Sun, Xinfei Wang, Qixing Yang, Xuping Xie, Wenju Hou, Chunjie Guo, Yan Wang:
GSAM-MRI: Frequency-Based Domain Randomization for Generalized MR Image Segmentation with Segment Anything Model. 2273-2278 - Mingxu Huang, Chaolu Feng, Yua Gao, Deyu Sun, Ming Cui, Dazhe Zhao:
HCFMorph: Hybrid Contribution-Aware Fusion Network for Multi-Temporal Medical Image Registration. 2279-2284 - Qian Zhou, Yuhan Gao, Hua Zou, Fei Luo, Xiwen Bai:
Anatomy-Aware Adaptation of Pre-Trained Models for Medical Difference Visual Question Answering. 2283-3388 - Kuan Huang, Yongxiang Wan, Jianhua Huang, Meng Xu:
Online Block-Level Data Augmentation for Medical Image Classification. 2285-2292 - Junhao Jia, Yifei Sun, Yunyou Liu, Cheng Yang, Changmiao Wang, Feiwei Qin, Yong Peng, Wenwen Min:
RTGMFF: Enhanced fMRI-Based Brain Disorder Diagnosis via ROI-Driven Text Generation and Multimodal Feature Fusion. 2301-2308 - Yixuan Jiang, Wentao Shi, Hsiao-Dong Chiang, Yiqing Shen:
DiffDisReg: Mitigating Forgetting in Diffusion Models with Discriminative Regularization. 2309-2314 - Chuanyi Jiao, Ying Yu, Chunping Ouyang, Yongbin Liu, Zhiming Liu:
DAWN: Dual-Axial Warped Networks for Sepsis Early Prediction. 2315-2320 - Yingying Jiao, Yifan Zhang, Jiajia Zhang:
CNN-Transformer Based Real-Time Detection of Driver Sleep Onset Using EEG and EOG Signals. 2321-2328 - Qiangguo Jin, Xurong Chen, Hui Cui, Changming Sun, Youpeng Deng, Cong Cong, Yuqi Fang, Ran Su, Leyi Wei, Xiaoqing Zhao:
ADSA-Net: Addressing Intra- and Inter-Class Variabilities for Severity Assessment of Atopic Dermatitis. 2329-2334 - Rui Jin, Chen Chen, Yin Liu, Peng Wu, Hongfu Sun, Ruiqing Zheng, Min Zeng, Min Li, Yang Gao:
GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis. 2335-2340 - Xingnan Jin, Zikai Wang, Hejun Yang, Mingyang Li, Yongping Du:
A Contextualized Semantic Alignment Framework for Biomedical QA with Controllable Evidence Utilization. 2341-2346 - Chaoyi Ke, Yuhang Sun, Weihao Xia, Xiangyu Ma, Xiaohui Yao, Shan Cong, James Lo, Huachuan Wang:
DC-GCE Loss: Robust Medical Image Classification Under Label Noise. 2347-2352 - Hulin Kuang, Guangheng Wu, Jin Liu, Zhe Qu, Shichao Kan, Jie Wang:
GMReg: Group Mamba Correlation Based Pyramid Network with Edge Enhancement for Medical Image Registration. 2353-2358 - Hulin Kuang, Yingxu Chen, Jin Liu, Jie Wang, Zhe Qu, Shichao Kan:
Multimodal Foundation Model Adaptation with Clinical Knowledge Guidance for IDH Genotyping. 2359-2364 - Weixuan Li, Guang Yu, Quanjun Li, Junhua Zhou, Jiajun Chen, Yihang Dong, Mengqian Wang, Zimeng Li, Changwei Gong, Lin Tang, Xuhang Chen:
Elevating Medical Image Security: A Cryptographic Framework Integrating Hyperchaotic Map and GRU. 2371-2376 - Quanjun Li, Weixuan Li, Fuchen Zheng, Junhua Zhou, Han Xia, Changwei Gong, Zimeng Li, Yihua Shao, Xuhang Chen:
HAFT: Hierarchical Attentional Fusion Transformer for Adaptive Feature Fusion in Medical Image Segmentation. 2377-2382 - Weixuan Li, Quanjun Li, Guang Yu, Song Yang, Zimeng Li, Chi-Man Pun, Yupeng Liu, Xuhang Chen:
DTEA: Dynamic Topology Weaving and Instability-Driven Entropic Attenuation for Medical Image Segmentation. 2383-2388 - Songquan Li, Jun Yuan, Mengyao Li, Hanming Wang, Rongbo Zhu:
Listening to the Brain: An Auditory-Inspired Electrode Attention for Cross-Subject EEG Drowsiness Recognition. 2389-2394 - Lingrui Li, Yanfeng Zhou, Nan Pu, Xin Chen, Zhun Zhong:
Multi-Scale Global-Instance Prompt Tuning for Continual Test-Time Adaptation in Medical Image Segmentation. 2395-2402 - Xiaoyan Li, Cuicui Jiang, Zhiming Jiang, Caihong Li, Zhenzhen Xie, Li Liu, Chuan Song, Zijing Chen:
CareAttenNet: Deep Learning Framework with Temporal Attention for Automated Nursing Activity Recognition from Wearable Sensors. 2403-2410 - Ludi Li, Jin Liu, Hanhe Lin, Xu Tian, Mingzi Yuan, Jianchun Zhu, Jianxin Wang:
Radar-Based Cross-Environment Unsupervised Domain Adaptation for Human Activity Recognition. 2411-2416 - Yiran Li, Yixuan Fan, Xiaoxiao Cui, Yuezhong Zhang, Jiaguang Song, Xifeng Hu, Yuan Chen, Kai Zheng, Lizhen Cui, Zhi Liu, Shuo Li:
CLINav-GKD: Vision-Language Latent Hyperbolic Geometric Knowledge Distillation for Real-World 6-DOF Echocardiography Probe Navigation. 2417-2422 - Yina Li, Yufei Chen, Wei Liu, Jingen Qu, Chao Ma, Xiaodong Yue:
H-MEAN: Hierarchical Multi-view Evidence Aggregation Network for Trustworthy Medical Image Classification. 2423-2428 - Ao Li, Wei Fang, Ge Yang, Minfeng Xu:
AngioDiff: Structure-Preserving and 3D-Consistent Diffusion for CT Angiography Synthesis. 2429-2434 - Rui Li, Dehui Qiu, Boxuan Zhao:
SC-UMamba: A Unified Architecture for Colorectal Polyp Segmentation and Classification. 2435-2440 - Jiangfeng Li, Yifan Li, Hejing Cai, Zhiwen Cao, Shijie Wang, Hailong Liu, Cui Tang, Ye Luo:
Desmoke-VIT: A Red Bias-Resistant Approach to Unpaired Laparoscopic Smoke Removal. 2441-2448 - Yongluo Li, Tian Tian, Ying Zhou:
Multi-Level Wavelet Network with Spectral-Temporal Features for SSVEP Human-Computer Interaction. 2449-2454 - Guanting Li, Liangrui Pan, Xiaoyu Li, Jiadi Luo, Qingchun Liang, Shaoliang Peng:
MP-MIL: Multi-View Multiple Instance Learning with Positional Embedding to Predict PIK3CA Mutation. 2455-2462 - Liwen Li, Xinrui Guo, Wentao Guo, Fumin Guo:
Motion Decomposition and Component-Wise Adaptive Learning for Cardiac Motion Estimation. 2463-2469 - Yuexin Li, Xiaoyue Feng, Renchu Guan, Xiaosong Han:
Explainable LLM-Based Prenatal Depression Screening from Questionnaires. 2470-2475 - Shenghao Liang, GuoWei Tao, Yun Zhang, Feng Liu:
Attention-Guided Dual-Path Network for Pulmonary Nodule Detection in CT Scans. 2476-2482 - Zhichao Liang, Fan Li, Dengqiang Jia, Yaofei Duan, Xinyu Xie, Kaicong Sun, Zhiming Cui, Tao Tan, Dinggang Shen:
Tree-Diffusion: Octree-Based Conditional Diffusion Model for Small Bowel Skeleton Generation with Geometric Direction Modeling. 2483-2488 - Jiefan Lin, Hefeng Ji, Jing Xiao, Jimin Liu:
Decoupled Pseudo-Label Refinement for Robust Laparoscopic Image Desmoking. 2489-2495 - Ling Lin, Wei Peng, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu:
Tissue-Aware Prototype Learning Model for Predicting Anticancer Drug Response in Patients. 2496-2501 - Shuaihao Wang, Zhihong Liu, Liangliang Liu:
A Breast Cancer Biomarker Prediction Method Based on Cross-Modal Adaptive Attention Collaboration. 2502-2507 - Yaoyu Liu, Jiawen Zhang, Yingjie Cao, Denan Liu, Jie Chang, Sike Chen, Shaoliang Peng:
A-Mel: A Resource-Efficient Deep Learning Agent for Precise Early Melanoma Diagnosis. 2508-2515 - Congying Liu, Xingyuan Wei, Peipei Liu, Yiqing Shen, Yanxu Mao, Tiehan Cui:
BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs. 2516-2521 - Ruimeng Liu, Yujing Zhao, Ziwei Qin, Ye Luo:
A Prototype-Driven Multi-Modality Image Sequence Learning Framework for EGFR Mutation Prediction in NSCLC. 2522-2529 - Jiaxing Liu, Zhengqin Wang, Mingming Guo, Zihan Lu, Yaxiong Chen, Qiang Zhang:
SwinV2-SF: A Parallel Polyp Segmentation Architecture Leveraging Swin Transformer V2 and Spatial-Frequency Dual-Domain Attention. 2530-2537 - Yan-Kai Liu, Xuan-Hao Liu, Yi-Dong Zhao, Bao-Liang Lu, Wei-Long Zheng:
Decoding Emotions from Missing-Channel EEG Signals via Uncertainty-Aware Modeling with Neural Processes. 2538-2543 - Jiawen Liu, Yuanbo Zeng, Jiaming Liang, Yizhen Yang, Yiheng Zhang, Enhui Cai, Xiaoqi Sheng, Hongmin Cai:
MM-UNET: Morph Mamba U-Shaped Convolutional Networks for Retinal Vessel Segmentation. 2544-2551 - Zehua Liu, Shihao Zou, Jincai Huang, Yanfang Zhang, Chao Tong, Weixin Si:
TempDiffReg: Temporal Diffusion Model for Non-Rigid 2D-3D Vascular Registration. 2552-2559 - Zehua Liu, Meng Zhang, Yang Gao, Jianping Lv, Feng Lu, Weixin Si:
Fast Intra-Operative Angiographic Parametric Imaging for Surgical Outcome Prediction of Interventional Cerebral Aneurysms Treatment. 2560-2567 - Chao Liu, Ling Luo, Tengxiao Lv, Huan Zhuang, Lejing Yu, Jian Wang, Hongfei Lin:
FocusMed: A Large Language Model-Based Framework for Enhancing Medical Question Summarization with Focus Identification. 2568-2573 - Haifeng Liu, Qiuyu Long, Nan Zhao, Junsheng Zhou, Yanhui Gu:
Diffusion-Causal Synergy Enhancement for Drug Repositioning. 2574-2579 - Yaozhang Liu, Yu Hu, Xiaoping Li:
Beyond Fusion: Clinical Supervision as Semantic Anchor for Robust Omics-Based Survival Prediction. 2580-2585 - Chunlin Lu, Yongheng Zhang, Yao Li, Sheng Wang, Libo Qin:
LAMA-AD: Label-Aware Multi-Agent Alzheimer's Disease Diagnosis with Counterfactual Reasoning. 2586-2593 - Fengyu Lu, Jiaxin Duan:
MedKRG: A Knowledge and Retrieval-Guided Framework for Electronic Health Record Synthesis. 2594-2601 - Hao Lu, Ziniu Qian, Yifu Li, Yang Zhou, Bingzheng Wei, Yan Xu:
CTIS-QA: Clinical Template-Informed Slide-Level Question Answering for Pathology. 2602-2608 - Xiaoqi Luo, Jin Gu, Tianrui Li, Hongru Zhu:
DGE-MAW: Dynamic Graph Enhancement and Multi-Level Attention Weighting Method for Neurological and Psychiatric Disorders Diagnosis. 2609-2614 - Xiaoqi Luo, Jin Gu, Fei Teng, Hongru Zhu:
An Auxiliary Diagnostic Method for Neurological and Psychiatric Disorders Based on Hemisynap Polarity Attention and Adversarial Training. 2615-2620 - Yuchen Luo, Zhanhua Lu, Jiatai Yang, Sijia Liu, Weizhong Zhao, Xingpeng Jiang:
LLM-Assisted Nutrition-Disease Knowledge Graph Construction and Multi-View Fusion Framework for Link Prediction. 2621-2628 - Zhengquan Luo, Chi Liu, Dongfu Xiao, Zhen Yu, Yueye Wang, Tianqing Zhu:
RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving. 2629-2636 - Yutao Ma, Jingyuan Chen, Yuchen Pei:
Joint Structure-Texture Representation Learning for Generalizable Cervical OCT Diagnosis Across Medical Centers. 2637-2644 - Xu Ma, Zhenhua Yu:
DADA: A Diffusion Autoencoder-Based Data Augmentation Method for Medical Image Segmentation. 2645-2650 - Qiucheng Miao, Rui Zhou, Jintao Meng, Yanjie Wei:
Task-Adaptive Refined Reinforcement Learning with Granular Reward Shaping for Biomedical Information Extraction. 2651-2656 - Kaichen Nie, Tianmin Xu, Yuru Pei:
Neural Deformation Prior and Spatial Correlation Regularization for One-Shot Craniofacial Landmark Localization. 2657-2664 - Fucheng Niu, Liao Ya, Hui Liu, Xiaojuan Wang, Lin Zhang:
Boosting Contrastive Learning for Myopia Prediction: Which Data Augmentation Works Best? 2665-2670 - Yi Niu, Jiashuai Liu, Yingkang Zhan, Jiangbo Shi, Jian Chen, Di Zhang, Chen Li, Zeyu Gao:
Learning Heterogeneous Embedding with Prototype-Aware Graph Attention for Whole Slide Image Classification. 2671-2678 - Yan Niu, Yuxi Li, Yanan Li, Ang Zhao, Jie Xiang, Mingliang Dou:
CFPAC-DAL: Dual Attention Learning on Cross-Frequency Phase-Amplitude Coupling Networks for Generalized Seizure Prediction. 2676-2684 - Liangrui Pan, Xingchen Li, Zhongyi Chen, Chenchen Nie, Ling Chu, Shaoliang Peng:
DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset. 2685-2691 - Boyan Pan, Ming Ma:
CasMamDiff: Cascaded Mamba Diffusion Model for Radiotherapy Dose Prediction. 2692-2698 - Zixuan Pan, Yu-Jen Chen, Jun Xia, Max Ficco, Jianxu Chen, Tsung-Yi Ho, Yiyu Shi:
Multi-Exit Class Activation Map Guided Feature Masking for Unsupervised Out-of-Distribution Detection in Medical Imaging. 2699-2706 - Shanchen Pang, Dixin Han, Zhiyuan Zhao, Hengtao Ding, Yawu Zhao, Shiyuan Huang, Xue Zhao, Sibo Qiao:
ReConCPS: Integrating Feature Reconstruction with Enhanced Cross Pseudo Supervision for Semi-Supervised Medical Image Segmentation. 2707-2714 - Shengbing Pei, Yongchao Zhang, Wencong Jiang, Yi Yin, Chao Zhang, Zhao Lv:
Self-supervised fMRI Outlier Detection via Graph Reachability Modeling. 2715-2722 - Xiang Peng, Yong Zhang, Qinglei Zeng, Yiwen Peng:
Low-Resource Biomedical Event Detection: Enhancement with Context Generated by Large Language Models. 2723-2729 - Mucheng Ren, He Chen, Yucheng Yan, Danqing Hu, Jun Xu, Xian Zeng:
Tracecoder: Towards Traceable Icd Coding Via Multi-Source Knowledge Integration. 2730-2735 - Mucheng Ren, Yucheng Yan, He Chen, Danqing Hu, Jun Xu, Xian Zeng:
TACL: Threshold-Adaptive Curriculum Learning Strategy for Enhancing Medical Text Understanding. 2736-2741 - Yiqing Shen, Yuying Xue, Jing Ke:
Discovering Optimal Virtual Staining Templates for Pathology Image Analysis via Physics-Inspired Particle Swarm Optimization. 2742-2747 - Yang Shi, Jingchao Wang, Liangsi Lu, Mingxuan Huang, Ruixin He, Yifeng Xie, Hanqian Liu, Minzhe Guo, Yangyang Liang, Weipeng Zhang, Zimeng Li, Xuhang Chen:
PC-UNet: An Enforcing Poisson Statistics U-Net for Positron Emission Tomography Denoising. 2748-2753 - Yiming Shi, Xun Zhu, Kaiwen Wang, Ying Hu, Chenyi Guo, Miao Li, Ji Wu:
Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model. 2754-2759 - Yuan Shi, Yue Yang, Zheng Chu, Weiyun Li:
Non-Invasive Continuous PPG-Based Blood Pressure Monitoring on Mobile Devices via Knowledge Distillation. 2760-2765 - Jiangpeng Shi, Juanjuan Zhao, Yan Qiang, Qi Chen, Yan Wang:
RM-SSNet: An Ultra-Lightweight Medical Image Segmenter With Recursive Multi-Scale Reasoning and Boundary Enhancement. 2766-2773 - Yangyang Shi, Xiaoyan Kui, Yucong Zhang, Shihao Zou, Zuheng Ming, Weixin Si, Azeddine Beghdadi, Beiji Zou:
Distance-Aware and Knowledge-Driven Vision Mamba U-Net for Radiotherapy Dose Prediction. 2774-2781 - Jiangpeng Shi, Lina Pang, Juanjuan Zhao, Yan Qiang:
EVLM-Net: Vision-Language Fusion with Efficient Upsampling for Accurate Polyp Segmentation. 2790-2797 - Jialin Song, Jiarui Wang, Hanrui Jiang, Jinduo Liu:
A Spatio-Temporal Expert Fusion Framework Integrating Mamba and KAN for EEG Emotion Recognition. 2798-2803 - Mingbo Su, Yi Zhang, Mounir Kaaniche, Congcong Wang, Meng Zhao:
SR-MedTS: a Semantically-Robust Synergistic Framework for Multi-modal Medical Image Translation and Segmentation. 2804-2810 - Dong Sui, Zhehao Xu, Nanting Song, Yacong Li, Maozu Guo, Gongning Luo, Kuanquan Wang, Henggui Zhang:
A Dual-Domain Framework with Wavelet Attention for Cardiac Ultrasound Image Quality Assessment. 2811-2816 - Kaiwen Sun, Yuting Guo, Yuanbo He, Zining Liu, Jiahao Cui, Shuai Li:
Genomics-Aware Multimodal Self-Supervised Learning for Cancer Survival Prediction. 2817-2824 - Xin Sun, Shuang Li, Zhijuan Du:
CGAF-SDP: A Species Distribution Prediction Model Based on Cross Graph Attention Fusion. 2825-2830 - Guoying Sun, Weiyu Guo, Tong Shao, Yang Yang, Haijin Zeng, Jie Liu, Jingyong Su:
BrainCognizer: Brain Decoding with Human Visual Cognition Simulation for fMRI-to-Image Reconstruction. 2831-2838 - Jiayao Tang, Yuan Zhang, Xieping Gao, Kai Hu:
Dualmnet: a Lightweight Multi-Axis Interactive and Mask-Guided Network for Intracerebral Hemorrhage Segmentation. 2839-2844 - Xinyi Tang, Yidan Dai, Yang Cao, Xiaomao Fan, Jiao Wang, Huijun Yue, Wenjun Ma:
MSF-DTCNet: Multi-Task Sleep Structure Analysis via Single-Lead ECG with Multi-Scale Feature Fusion and Dynamic Task Coordination. 2845-2852 - Yaling Tao, Yanwu Xu, Yizhou Yu, Jinpeng Li:
Accurate Coronary Microvascular Segmentation with Parallel Local-Global Chains. 2853-2860 - Juntong Ti, Lijun Liu, Xiaobing Yang, Wei Peng, Li Liu:
Polyp-MoE: Modeling Temporal Consistency and Structural Priors via Mixture-of-Experts for Video Polyp Segmentation. 2861-2866 - Jia Tian, Zhenming Wu, Xiaoquan Su, Jin Zhao:
TheraPepNet: Enhancing Therapeutic Peptide Recognition via Temporal Sequence Prediction Networks and Preprocessed Features. 2867-2872 - Qin Wang, Mingzhe Liu, Dongfen Li, Haihua Ding, Mingrong Xiang, Linlin Zhuo:
Enhancing Medical Image Segmentation with Fvm-Unet: a Hybrid Cnn-Mamba Approach. 2873-2878 - Peng Wang, Xiaohang Guan, Anli Wang, Zhenguo Zhang, Xueshuo Xie, Tao Li:
PCVMNet: Landmark-Aware Transformer Network for Pediatric Cervical Vertebral Maturation Assessment. 2879-2885 - Yuan Wang, Ruizheng Zhang, Cheng Li, Yi Zhang, Juan Liu:
Self-Similarity Structural Feature-Guided and Missing-Aware Network for Unsupervised Non-Rigid Histological Image Registration. 2886-2891 - Wanbo Wang, Hongshuo Li, Leilei Yuan, Yaxuan Zhao, Shaodong Ma, Ling Wang, Yitian Zhao:
Frequency - Semantic Dual - Driven Segmentation of Peripapillary Atrophy in Retinal Fundus Images. 2892-2898 - Yuanhan Wang, Yifei Chen, Shuo Jiang, Wenjing Yu, Mingxuan Liu, Beining Wu, Shenghao Zhu, Feiwei Qin, Jin Fan, Changmiao Wang:
DR-TTA: Dynamic and Robust Test-Time Adaptation Under Low-Quality Mri Conditions for Brain Tumor Segmentation. 2899-2906 - Chen Wang, Yongbin Zhu, Qi Li, Shengdong Zhang, Weixiang Liu:
MSA-Net: Masked Separable Attention Network for Breast Ultrasound Tumor Segmentation. 2914-2919 - Haiyan Wang, Xubin Zhang, Jiazhou Chen, Hongmin Cai:
Consensus-Guided Anchor Graph Alignment for Multi-View Clustering. 2920-2925 - Yunliang Wang, Ziyu Fan, Zhijian Huang, Jinmiao Song, Lei Deng:
GroupTransUNet: Group Transformer UNet for Medical Image Segmentation. 2926-2931 - Puzhen Su, Yongzhu Miao, Chunxi Guo, Jintao Tang, Shasha Li, Ting Wang:
Explicit Knowledge-Guided in-Context Learning for Early Detection of Alzheimer's Disease. 2926-2931 - Zhe Wang, Shuaiying Yuan, Yongkang Qin, Xue Wang:
A Personalized Transfer Learning Framework for Myocardial Infarction Localization. 2932-2937 - Rui Wang, Ying Zhou, Hao Wang, Wenwei Zhang, Qiang Li, Zhiwei Wang:
TiS-TSL: Image-Label Supervised Surgical Video Stereo Matching via Time-Switchable Teacher-Student Learning. 2938-2944 - Jing Wang, Tong Wang, Siyuan Luo, Xiaoran Guo, Jiayi Yin, Jing Li, Zehua Yuan, Gang Yu, Bo Lin:
FedPMR: Personalized Prototype-Based Federated Learning for Accelerated Magnetic Resonance Image Reconstruction. 2945-2952 - Tianxin Wang:
Trustworthiness Verification for Federated Learning in Web3.0 Healthcare Communities. 2953-2959 - Qifei Wang, Yuefeng Zhao, Nai Zhou, Nannan Hu:
CrossMed-SAM: Cross-Modal Medical Image Segmentation via Frequency-Seale-Semantic Awareness. 2960-2965 - Zhaochi Wen, Jing Cheng, Yuliang Zhu, Daisong Gan, Zhe Zhang, Dong Liang:
DIFA: A Gradient Prior-Guided Deformable Inter-Frame Attention Framework for Dynamic Medical Image Interpolation. 2966-2973 - Yaohao Wu, Junlin Xu, Qiangguo Jin, Shuting Jin:
Bidirectional Relational Fusion with Meta-Learning for Inductive Knowledge Graph Completion. 2974-2981 - Xuehong Wu, Jun-Long Ma, Guoping Yang, Min Li:
ADESys: A Modular System for ADE Identification Research with LLM-RAG Integration. 2982-2987 - Mengtong Wu, Xulei Zhao, Zonglin Yang, Lida Zhu, Xizi Chen:
MSU3D: Multi-Scale 3D Convolutional Neural Network for Lung Nodule Segmentation. 2988-2993 - Jia Wu, Lifan Zhang, Fangfang Gou:
FFBFormer: A Decision-Support Transformer Network for Brain Glioma Analysis. 2994-2999 - Yifeng Wu, Yicheng Yu, Zhongheng Yang, Zixuan Zeng, Guanhua Chen, Jinping Xu:
Brain-SAM: Modality-Agnostic Model for Brain Lesion Segmentation. 3000-3005 - Han Xia, Quanjun Li, Qian Li, Zimeng Li, Hongbin Ye, Yupeng Liu, Haolun Li, Xuhang Chen:
EEMS: Edge-Prompt Enhanced Medical Image Segmentation Based on Learnable Gating Mechanism. 3006-3011 - Fei Xia, Yuanfan Liu, Chi Kong Tam, Jun Kui Zhang, Feng Liu, Fei Luo:
VPI-Depth: Endoscopic Dark Image Depth Estimation via Virtual Physical Illumination. 3012-3017 - Jinhai Xiang, Shuai Guo, Chenxi Sun, Dantong Shi, Wen Zhang, Xinwei He:
Tetrahedron-Net for Medical Image Registration. 3018-3023 - Jun Xiao, Bicheng Wang, Zhenghui Gu, Tianyou Yu:
Geometry-Aware Graph Transformer for EEG-Based Emotion Recognition. 3024-3031 - Ruiwei Xie, An Zeng, Dan Pan:
CAFNet: Category-Aware Filtering Based on Mutual Information for Heterogeneous Data in Neurological Diseases. 3032-3037 - Junhui Xin, Jingyi Weng, Jierui Zhao, Hui Ding, Nan Chen, Zhuhong Shao, Tie Liu:
ODQ-UNet: A Quaternion-based U-Net Integrating OD and RGB Space for Nuclear Segmentation. 3038-3043 - Meng Xing, Wanlong Zhang, Yong Su, Qifa Peng, Shuang Zhu:
From Gaze to Masks: Gaze-Based Weakly-Supervised Medical Image Segmentation. 3044-3049 - Tianxiang Xu, Junqiao Wang, Yangfan He, Xinyuan Song, Peilai Yu, Xunfei Zhu, Chang Liu:
Multi-Scale Volumetric Transformers with Adaptive Uncertainty Modeling for Robust Bacterial Flagellar Motor Localization in Cryo-Electron Tomography. 3050-3055 - Kang Xu, Peihan Cai, Liqun Lu, Zhenjiang Dong:
SAKGR: Structure-Augmented Knowledge Graph Representations for Reasoning Over Large Language Models in Medical Question Answering. 3056-3063 - Kang Xu, Deqiang Xiao, Jingyi Bian, Long Shao, Hong Song, Jian Yang:
SPPReg: Structure-Aware Partial-to-Complete Point Cloud Registration in Computer-Assisted Orthopedic Surgery. 3064-3071 - Jixiang Xu, Xiaoyu L, Lele Wang, Jiadi Luo, Tiandong Chen, Qingchun Liang, Bei Yang:
BTDA-MIL: Leveraging Bag-Transformation Augmentation to Boost Multi-Instance Learning for WSI Classification. 3072-3077 - Yiming Xu, Bingbing Zhang, Wen Zhu, Lizhi Zhang, Bin Liu, Jianxin Zhang, Qiang Zhang:
Dual-Prompt Learning with Cross-Modal Decoders for Few-Shot Whole Slide Image Classification. 3078-3083 - Yanghui Yan, Xingce Wang, Zhongke Wu, Jingyi Liu, Xiaodong Ju, Yicheng Zhu, Wuyang Shui:
OS-DDPM: One-Step Denoising Diffusion Probabilistic Model for Anisotropic MRI Super-Resolution. 3084-3089 - Zhuoqin Yang, Jiansong Zhang, Xiaoling Luo, Xu Wu, Zheng Lu, Linlin Shen:
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification. 3090-3097 - Qiyuan Yang, Dan Chen, Feng Leng, Yaodong Wang, Yiping Zuo, Weiping Tu, Xiaoli Li:
DREAM-OSA: Dual-Modal Transformer Framework for Early Warning of Obstructive Sleep Apnea via Transitional States Detection. 3098-3103 - Yan Yang, Muheng Shang, Ying Wang, Jin Zhang, Hongdong Li, Yulin Wang, Lei Du:
Predicting MCI Conversion Status Using Baseline Neuroimaging Scans and Genetics Variations. 3112-3117 - Songhan Yang, Lufeng Feng, Rui Feng, Han Luo, Yue Hu, Jianhong Cheng:
MTL-SAM3D: A Multi-Task Learning 3D SAM Framework for 3D MRI Glioma Segmentation and IDH Genotyping. 3118-3123 - Haoran Yang, Zheping Yu, Renren Jin, Tongxuan Zhang, Yuqi Ren, Guiyun Zhang:
How Do Personality Traits Affect LLM Performance on a Variety of Tasks? 3124-3129 - Haoqin Yang, Yichao Zhang, Jiayuze Zhang, Kai Che, Linlin Xing:
SECGI: A Medication Recommendation Model Combining LLM-Based Semantic Enrichment and Causal Graph Inference. 3130-3136 - Jiajie Yao, Jinwen Tian, Heng Zhang:
A Prototype-Based Rebalancing Framework to Address Modality Imbalance in Multimodal Emotion Recognition. 3137-3142 - Yixing Ye, Hao Gao, Mengqi Liu, Yikang He, Haolun Li, Chi-Man Pun, Feng Xu:
A Noise-Resistant 3D Hand Motion Estimator Framework for Parkinson's Tremor Assessment. 3143-3148 - Liang Yu, Haozheng Li, Ziqi Liu, JingTao Liu, Yuchuan Peng, Bin Liu:
MT-IDR: Disordered Flexible Linkers and Molecular Recognition Features Prediction Based on Multi-Task Learning. 3149-3156 - Ruida Yu, Pengcheng Li, Junjie Zhuo:
Brain-CDM: A Cascaded Diffusion Model for Super-Resolution of Thick-Slice T2-FLAIR Brain MRI. 3157-3162 - Zheping Yu, Haoran Yang, Renren Jin, Tongxuan Zhang, Yuqi Ren, Guiyun Zhang:
Does Personality Shape AI Minds Like Humans? A Systematic Study on the Cognition and Behavior of Large Language Models. 3163-3168 - Chunyan Yu, Shengbiao Huang, Jiannan You, Wanjian Xu, Zexi Lin, Zejie Yan:
Leveraging Lesion Priors to Enhance Detection of New Multiple Sclerosis Lesions. 3169-3176 - Changning Yu, Na Huang, Hang Su, Chao Sun, Bo Du:
VegaNet: Conditional Multi-View Medical Image Correction via X-Gaussian Modeling for Efficient Perspective Alignment. 3177-3183 - Xinpan Yuan, Mingzhu Huang:
VRSegNet: Visual-Relation-Guided Segmentation of Clear Nasal Discharge Under Anatomical Constraints for Rhinitis Assessment. 3184-3189 - Yijia Zeng, Chi-Man Pun:
LASGA: Lesion-Aware Saliency-Guided Adversarial Attack for Diabetic Retinopathy Grading. 3190-3195 - Muqing Zhang, Bonian Chen, Yutong Han, Bin Liu, Jianxin Zhang, Qiang Zhang:
Volumetric Axial-Shift Mamba U-Net for 3D Brain Tumor Segmentation. 3196-3202 - Yukun Zhang, William Henry Nailon, Tonggang Zhao, Guisheng Wang, Kun Cheng:
Curriculum Learning-Inspired Spatial Discrepancy Regularization for Adaptive Calibration in Medical Image Segmentation. 3203-3208 - Miao Zhang, Yidi Tang, Kai Peng, Zhuangze Hou, Weibing Sun, Yongri Piao, Huchuan Lu:
Feature Selection and Dual Perturbation: Synergistic Approaches for Semi-Supervised Polyp Segmentation. 3209-3214 - Han Zhang, Yu Lu, Ran Wang, Dian Ding, Mengying Zhu, Shengyun He, Ling Ma, Yi-Chao Chen, Ruokun Li, Shikui Tu, Guangyu Wu, Guangtao Xue:
A Transform-Domain Approach with Symmetric and Edge Constraints for MRI Super-Resolution. 3215-3222 - Shudi Zhang, Junchang Xin, Qi Shen, Zhihong Huang, Xinyao Liu, Zhiqiong Wang:
Mg-Mcc: Metadata-Guided Skin Lesion Classification Via Multimodal Consistency Constraints. 3223-3229 - Yue Zhang, Yu Sun, Cheng Li, Yi Zhang, Juan Liu:
PMDNet: A Pathological Microscopic Image Deblurring Network Based on Frequency Domain Features. 3230-3235 - Wenjie Zhang, Zhipeng Hu, Wei Wang, Xin Wang:
LRD-3DSAM: A Novel SAM-Based 3D Medical Segmentation Network for Modeling Long-Range Dependencies. 3236-3241 - Jun Zhang, Yuquan Wang, Peisen Zhao, Ruijie Yang, Hongxia Deng:
GammaDiff: Deep Diffusion Models for Gamma Index Synthesis in Radiation Therapy. 3242-3247 - Wei Zhang, Yu Lu, Han Jiang, Xiujuan Zhao, Qianying Liu, Bingding Huang, Zhaoshun Zhang, Zhicheng Dong, Liyilei Su:
Enhancing Early Detection of Tractional Retinal Lesions in OCT via Self-Supervised Learning. 3248-3253 - Li Zhang, Xue Li, Mingyue Ma, Yue Du, Xinying Wang, Bing Han, Han Wang:
Breast Cancer Diagnosis via Small Raman Spectroscopy Samples Using a Transformer-Based Model. 3254-3259 - Han Zhang, Lanqing Yang, Zechen Li, Leping Yang, Yiheng Bian, Dian Ding, Leyu Jiang, Yi-Chao Chen, Guangtao Xue:
NLCTCN: A Non-Local Temporal Convolutional Framework for Spatiotemporal Modeling in Multichannel EEG. 3260-3265 - Dong Zhang, Haitao Xu, Liangliang Liu, Shuai Shan, Yu-Dong Zhang:
ConvFuseNet: Advancing Clinically-Applicable ccRCC Prognosis Via Adaptive Convolutional Fusion and Robust Multi-Center Validation. 3266-3273 - Dong Zhang, Haitao Xu, Liangliang Liu, Shuai Shan, Yu-Dong Zhang:
Automated Multicenter Pipeline for Pathological T-Stage Prediction of Clear-Cell RCC on Contrast-Enhanced CT via nnUN et Segmentation and SpatialMamba Feature Fusion. 3274-3279 - Han Zhang, Zeyuan Ding, Leping Yang, Yu Lu, Jiatong Ding, Dian Ding, Yiding Qi, Ruogu Li, Guanghui Gao, Yi-Chao Chen, Guangtao Xue:
STELLAR: Pacemaker Recognition Using 12-Lead ECG and Spatio-Temporal Harmonic Mechanism. 3280-3287 - Yongpeng Zhang, Congchi Yin, Runze Xia, Piji Li:
Brain Encoding Oriented Text Semantic Disentangling and Analysis. 3288-3294 - Xinping Zhao:
The Research on Intelligent Medical Triage System Based on Large Language Models. 3295-3302 - Liang Zhao, Xinyu Wang, Yu Shao, Yang Wang, Zhuo Liu:
MTMS: a Multi-Modal MRI Synthesis Model Via Multi-Task Learning. 3303-3308 - Lvxing Zhao, Pingping Wang, Wanbo Xu, Shucai Wu, Jinyu Cong, Benzheng Wei:
Global Awareness Meets Local Refinement: Mamba-Conv Synergy for 3D Pancreas and Tumor Segmentation. 3309-3314 - Di Zhao, Xin Dong, Jiana Meng, Hongfei Lin:
Bio-R3: Entity Aware and Domain Adaptive Enhanced Framework for Biomedical Document Level Relation Extraction. 3315-3320 - Jiajun Zhao, Yifan Zhang, Xuan Yang:
Variational Inference of Contrastive Learning Image Representations for Cardiac Image Segmentation. 3321-3328 - Bin Zhao, Shougan Teng, Wenwen Min, Changmiao Wang, Zhenbing Liu:
RE-SAM2: Boosting Few-Shot Medical Image Segmentation via Reinforcement Learning and Ensemble Learning. 3329-3336 - Jin Zhao, Zhiguo Fan, Yu Zhang, Weicong Liang, Zhengxin Zhang, Xiaohua Li:
Improving Nested Named Entity Recognition with Collaborative Models. 3337-3342 - Fuchen Zheng, Xinyi Chen, Weixuan Li, Quanjun Li, Junhua Zhou, Xiaojiao Guo, Xuhang Chen, Chi-Man Pun, Shoujun Zhou:
HBFormer: A Hybrid-Bridge Transformer for Microtumor and Miniature Organ Segmentation. 3343-3348 - Guowei Zheng, Pengbo Bo, Liangliang Liu, Zhaoyang Cong, Kegeng Tang, Caiming Zhang:
CoroSAM: Enhancing SAM With Frequency and Orientation Awareness for Coronary Artery Segmentation in X-Ray Angiography. 3349-3356 - Dan Zheng, Jing Feng, Juan Liu:
CrossStateECG-Lite: Lightweight Adaptive Thresholding Network for Dual-State ECG Biometrics. 3357-3362 - Xiaoyu Zheng, Jiaxin Wei, Xu Tian, Bin Jiao, Lu Shen, Jin Liu, Jianxin Wang:
Spatio-Temporal Multi-Task Learning for Dementia Diagnosis and Mini-Mental State Examination Score Prediction. 3363-3368 - Yiheng Zhong, Zihong Luo, Chengzhi Liu, Feilong Tang, Yingzhen Hu, Zelin Peng, Ming Hu, Jionglong Su, Zongyuan Ge, Imran Razzak:
PG-SAM: A Fine-Grained Prior-Guided SAM Framework for Prompt-Free Medical Image Segmentation. 3369-3376 - Junhua Zhou, Quanjun Li, Weixuan Li, Guang Yu, Yihua Shao, Yihang Dong, Mengqian Wang, Zimeng Li, Changwei Gong, Xuhang Chen:
TDADL-IE: A Deep Learning-Driven Cryptographic Architecture for Medical Image Security. 3377-3382 - Wei Zhou, Guilin Guan, Qifeng Yan, Yitian Zhao:
AdaptSAM: Adaptive SAM for Cross-Domain Few-Shot Medical Image Segmentation. 3389-3396 - Guanyu Zhou, Yifei Chen, Gaoxiang Ying, Mingxuan Liu, Xuguang Bai, Jialan Zheng, Bixiao Cui, Qiyuan Tian, Jie Lu:
WARPNet: Scale-Wise Autoregressive Cross-Modal Synthesis for Accurate and Detail-Preserving MRI-to-PET Generation. 3397-3404 - Junlei Zhou, Yang Li, Zhenhua Yu:
Scotd: Single-Cell Cross-Modality Translation for Unpaired Data Through Optimal Transport-Conditioned Diffusion. 3405-3411 - Xunfei Zhu, Chenhan Wang, Shangkeng Wu, Puyuan Yang, Tianxiang Xu, Kang Liang:
Diagno-S: Towards Verifiable Medical Reasoning via Diagnostic Decomposition. 3412-3417 - Xiang Zuo, Gengxin Xu, Juncai Zhang, Jian Cen, Ye Li:
Emotion Recognition from Few-Channel EEG Signals via Reciprocal Knowledge Distillation. 3426-3431 - Yazeed Alrubyli, Alessandro Bevilacqua:
CellVLM: Hierarchical Text-Guided Vision Transformers for Cell Segmentation and Classification. 3432-3435 - Muhammad Ayoub, Hai Zhao, Lifeng Li, Defu Qiu, Yucheng Song:
Region-Wise MRI Analysis Reveals Posterior Parietal Atrophy as an Early Dementia Biomarker and Highlights Nonlinear Progression Across Cognitive Stages. 3436-3439 - Qiayu Cai, Qiuhong Li, Yake Li, Jialing Huang, Zhiying Yuan, Qiang Fang, Seedahmed S. Mahmoud:
Microscopy Platform with Multimodal Segmentation and Medicine-Guided Deep Learning: Malaria Diagnosis and Leukocyte Classification. 3440-3445 - Shengneng Chen, Cheng Cheng, Wanghong Fu, Yingjun Chen, Gao Tu, Xiaohong Zhang, Weiwei Xue:
ADOptDiff - an Affinity Driven R-Chain Diffusion Model for Lead Compounds Optimization. 3446-3451 - Chaowei Chen, Xiang Zhang, Honglie Guo, Shunfang Wang:
Style-Aware Blending and Prototype-Based Cross-Contrast Consistency for Semi-Supervised Medical Image Segmentation. 3452-3457 - Rongtao Chen, Zhepei Hong, Qi You, Chuwen Xie, Jiahui Zhang, Jiahui Pan:
PR-DA: Prototype Regularization Domain Adaptation for Cross-Subject EEG-Based Emotion Recognition. 3458-3463 - Ying Chen, Jiajing Xie, Yuxiang Lin, Yuhang Song, Chen Zhang, Wenxian Yang, Rongshan Yu:
SurvMamba: State Space Model with Multi-Grained Multi-Modal Interaction for Survival Prediction. 3464-3469 - Wenqin Chen, Feng Liu, Zhihui Lai:
BC-Mamba: Boundary-Aware Contextual CNNs-Mamba for Accurate Ultrasound Image Segmentation. 3470-3473 - Lei Chen, Xin Long, Fan Gan:
BiOphthCLIP: A Bilingual VLP Foundation Model for Under-explored Ophthalmic Modalities. 3474-3479 - Guanyu Chen, Huarui Liu, Qiankun Li, Liang Lu, Xianjun Yang, Yining Sun, Yang Xu:
Recognizing Diabetic Foot Progression via Multimodal Fusion of Infrared Thermography and Clinical Data. 3480-3485 - Guangqi Chen, Fan Lin, Yuhang Liu, Wenxuan Dai, Siyi Fang, Qiang Li, Peng Zhang:
Progressive Two-Stage ECG Signal Generation: From Structural Skeletons to High-Fidelity Detail Refinement. 3486-3490 - Bonian Chen, Qiule Sun, Yujia Chen, Jianxin Zhang, Bin Liu, Qiang Zhang:
EProtoSeg: An Explainable Prototype-Based Network with Multi-Scale Context for Brain Tumor Segmentation. 3491-3495 - Xudong Chen, Chengze Ge, Qi Shao:
DocRouter: Path-Controllable Generation for Discharge Summaries via Document-Level Routing. 3496-3501 - Jianning Chi, Mingyang Sun, Geng Lin, Zelan Li, Wenjun Zhang:
Multi-View Interactive Interference Training Based on Cross-Network Uncertainty for Semi-Supervised Medical Image Segmentation. 3502-3506 - Mengxiang Chu, Xichen Wang, Xingxing Cheng, Jialaing He, Xiaowei He, Jingjing Yu, Hongbo Guo:
DTFMformer: A Dual-Bone Dynamic Time-Frequency Masked Transformer-Based Framework for Emotion Recognition from fNIRS Signals. 3507-3510 - Qi Cui, Yashu Liu:
PDC-Net: A Parallel Decomposition Convolutional Network for Anisotropic Medical Image Segmentation. 3511-3518 - Hualong Cui, Yongqiang Gao, Yongmei Liu, Mingyu Pang:
FedOCP-LRAT: A Rehearsal-Free Federated Continual Learning Framework via Orthogonal Compensation and Low-Rank Alternating Training for Medical Image Continual Classification. 3519-3522 - Rizhi Ding, Junyan Yu, Manhua Liu:
Group-Contrastive Feature Learning with MAE-Based Completion for Alzheimer's Disease Diagnosis from Clinical Non-Imaging Data. 3523-3526 - Yang Ding, Can Han, Chenyu Zhu, Tan Zhou, Yaqi Wang, Shiya Yao, Baoying Ye, Dahong Qian:
End-to-End Echocardiogram Video Analysis for Automated Fetal Congenital Heart Disease Diagnosis. 3527-3531 - Ming Dong, Qianxiao Fang, Hao Sun, Weizhong Zhao, Tingting He:
SMILE: Semantic Multi-Scale Integration and LLM-Enhanced Influenza-Like Illness Forecasting. 3532-3535 - Liang Dong, Hengyi Shao, Lin Zhang, Lei Li:
AGAM-EEG: Activation-Gradient Attribution Map for Enhancing Explainability in EEG Decoding. 3536-3539 - Lin Fan, Hongji Liu, Zhongmin Wang, Qiang Lu, Hai Wang:
CLIP-Based Semantic Fusion Method for Medical Image Segmentation. 3540-3543 - Zehao Fan, Yuchuan Qiao, Chunming Li, Botao Yang, Runguo Wei, Zilan Hong, Yankai Chen, Shengxian Tu:
Guidewire Segmentation with Multi-Scale GAN Reconstruction: An Advanced Approach for Real-Time PCI Localization. 3544-3549 - Shangwu Feng, Ziwen Liu, Ge Yang:
IYNet: Asymmetric Multi-Input Network with Wavelet-Driven LF/HF Perturbation for Semi-Supervised Biomedical Image Segmentation. 3550-3555 - Jianhui Feng, Yonggang Shi, Yuchuan Qiao:
MAC: Towards Accurate and Fast Susceptibility-Induced Distortion Correction for Missing Modality. 3556-3559 - Jiulin Fu, Liying Yang, Yubin Sun, Jingtao Du, Qiang Wang:
Target-Aware Cross-Subject EEG Emotion Recognition with Emotion Pattern Matching and Adversarial Adaptive Clustering. 3560-3563 - Jintao Fu, Tianchen Zeng, Yuewen Sun, Peng Cong:
CADRE: Contour-Guided ADMM-Optimized Deep Radon Enhancement for Unsupervised CT Reconstruction from Incomplete Data. 3564-3568 - Suzhong Fu, Rui Sun, Xuan Ding, Jingqi Dong, Yiming Yang, Yao Zhu, Min Chang Jordan Ren, Delin Deng, Angelica Aviles-Rivero, Shuguang Cui, Zhen Li:
VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel. 3569-3572 - Xiaotong Fu, Jing Zhou, Shuying Zhang, Ying Ji:
Confidence-Enhanced Semi-Supervised Learning for Mediastinal Neoplasm Segmentation. 3573-3578 - Hao Fu, Zibo Xiao, Chuang Liu, Xiangfei Meng:
Beyond Accuracy: Assessing LLMS' Ability to Recognize Their Limits in Medical Decision-Making. 3579-3582 - Wei Gan, Ke Lu, Yan Li, Menghao Hu, Guohong Hu, Dongmei Jiang, Jian Xue:
Learning Hierarchical Continuous Dynamics for Facial Action Unit Intensity Estimation. 3583-3587 - Qingsong Gao, Haitao Gan, Yi Liu, Wei Xia:
A Tri-Factor Collaborative Optimization Federated Learning Framework for Fetal Brain Age Prediction using MRI. 3588-3591 - Liyuan Gao, Xin Zhang, Kun Zhang, Victor S. Sheng:
ComplexWaveGAT: Complex-Valued Graph Attention Networks for Modeling Protein-Protein Interactions. 3592-3595 - Shuo Gao, Gang Yang, Yici Zhang, Jingjing Xu:
Text-Driven Multi-Modal Prototype Optimization for Multi-Disease Recognition on Retinal Fundus Images. 3596-3601 - Jie Gao, Ieong Weng San, Xiangmin Luo, Zhengxuan Chen, Tao Tan, Yue Sun:
Advancing Clinical Generalization in Remote Photoplethysmography via Age-Specific Physiological Features. 3602-3607 - Pengfei Gu, Huimin Li, Yejia Zhang, Chaoli Wang, Danny Z. Chen:
Self Pre-Training with Topology- and Spatiality-Aware Masked Autoencoders for 3D Medical Image Segmentation. 3608-3613 - Jiayi Guo, Liyun Zhang, Yiqing Shen:
A Human-Centered Mutltimodal AutoML Framework for Discriminative and Generative Tasks with Large Language Models. 3614-3619 - Jianyong Guo, Xiangjun Wu:
MedMamba-YOLO: A Vision State Space Model for Medical Image Detection. 3620-3625 - Xiaoyu Guo, Runjie Zhou, Pujun Feng, Yang Liu, Yuxue Qi, Tong Yang, Bin Cui:
Harnessing Large Models, Distilling to Small: Localized Deployment for Accurate Medical Prescription Diagnostic Inference. 3626-3629 - Saidi Guo, Haoran Geng, Weijie Cai, Jinquan Luo, Mancheng Gong, Xianfan Wang, Nan Lin:
MorphMamba: A Global Context-Aware Mamba for Volumetric Multi-Organ Segmentation. 3630-3633 - Yulong Guo, Long Chen, Qingqing Zheng, Qiong Wang:
Cross-Jrs: Bidirectional-Enhancement Framework with Domain Fusion for Multimodal Joint Registration and Segmentation. 3634-3639 - Zhaoru Guo, Yongquan Xue, Yongming Li, Shengchang Wang, Yue Han, Panpan Zheng:
ASC-Seg: Adaptive Structure Alignment and Cross-Scale Decoding for Medical Image Segmentation. 3640-3643 - Jiashu Guo, Jie Liu, Deyuan Chen, Shenghua Teng, Shuo Zhang, Xiaoxuan Liu, Xiangzhu Zeng, Ji He, Dongsheng Fan, Yan Liu:
TF-Transformer: Unified Time-Frequency Representation Learning for Resting State EMG Data. 3644-3647 - Dayu Guo, Zhiwen Luo, Nizar Bouguila, Wentao Fan:
BiovMNVTM: A Geometry-Aware Neural Topic Model for Biomedical Text Analysis via von Mises-Fisher Mixtures. 3648-3653 - Xiaowei He, Jie You, Han Zhang, Yudan Ren, Xiao Li:
Semantic-Brain Mapping Enhanced Image Reconstruction from FMRI via Latent Diffusion and Large Language Models. 3654-3657 - Genyu He, Xucheng Xiang, Yijin Gong, Tianzhu Liu, Wei Mei, Shan Tan:
Progressive Learning for Semi-Supervised Ultrasound Image Segmentation. 3658-3661 - Yifeng Hong, Xu Chen, Yang Wang, Xiyu Zhang:
DATCA: Dual-Anchor Guided Tri-Domain Contrastive Alignment for Cross-Modality Medical Image Segmentation. 3662-3667 - Won-Seok Hong, Seunghun Choi, Kwon Hong, Woo Hyun Lee, Hyun-Soo Choi:
Dash: Deep-Learning-Based Apnea Screening with AHI Estimation from Single-Lead ECG. 3668-3671 - Xiangjian Hou, Ebru Yaman Akcicek, Xin Wang, Kazem Hashemizadeh, Scott Mcnally, Chun Yuan, Xiaodong Ma:
Depth-Sequence Transformer (DST) for Segment-Specific ICA Calcification Mapping on Non-Contrast CT. 3672-3675 - Fei Hu, Xunde Dong, Xiuling Liu, Yupeng Qiang, Yang Yang:
LGFDTK-RAG: Dual-Conditioned RAG with Label-Guided Filtering and Dynamic Top-K for Automated ECG Report Generation. 3676-3681 - Xiaoyu Hu, Mengyuan Huang, Yuchen Pei:
ClinPAF-Net: Clinical-Prompted Asymmetric Fusion for Multi-Modal Brain Tumor Segmentation. 3682-3685 - Jingxi Hu, Jiaqi Yang, Xiangjian He, Yingying Hu, Zhanli Hu:
AGT-Diff: Anatomy-Guided Multimodal Adaptive Diffusion for Temporally-Aware PET Denoising. 3686-3689 - Chubin Huang, Tianhao Gao, Zhijiao Xiao, Sheng-hua Zhong, Rongrong Lu:
DiffEEGLossNet: A Single-Step Diffusion Framework for Motor Imagery EEG Generation. 3690-3693 - Zhongwei Huang, Chengjia Liang, Yiyuan Peng, Chao Chen, Haijun Lei, Baohua Tan:
Local-Global Attention Network via Online Self-Supervised Learning for Parkinson's Disease Diagnosis. 3694-3697 - Jianwen Huang, Guoheng Huang, Fuchen Zheng, Chi-Man Pun, Ka-Cheng Choi, Lianglun Cheng, Guanghui Yue:
DGLL: A Hybrid Global-Local Feature Learning Network for Precise Tooth Landmark Detection. 3698-3703 - Zhen Huang, Tao Tang, Ronghao Xu, Yangbo Wei, Wenkai Yang, Suhua Wang, Xiaoxin Sun, Han Li, Qingsong Yao:
H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical Imaging. 3710-3715 - Ziyang Huang, Wanling Liu, Zhehui Xu, Jingxing Zhong, Xiang Zheng, Yanggeng Fu:
HUA-Seg: A Hierarchical Framework for Uncertainty-Aware Medical Image Segmentation. 3716-3720 - Dillan Imans, Phuoc-Nguyen Bui, Duc-Tai Le, Hyunseung Choo:
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation. 3721-3724 - Junya Inoh, Kengo Miyo, Shuhei Noyori, Takafumi Yoshinaga, Ryota Nishi, Yuki Kodama, Masanori Tsujikawa:
Transformer-based Prediction of Screen Transition for EMR Navigation Support. 3725-3730 - Chufeng Jin, Tao Wang, Tianyi Liu, Baike Shi, Hui Tang, Guangquan Zhou, Rongjun Ge, Qianjin Feng, Yang Chen, Jean-Louis Coatrieux:
DET-CPD: Dynamic Edge-Aware Transformer with Cross-Image Patch Dependency for Lesion Segmentation in Ultrasound Images. 3731-3734 - Honggu Kang, Duc-Tai Le, Jong Chul Han, Junghyun Bum, Hyunseung Choo:
How to Predict Visual Field Defects from CFIs? 3735-3738 - Jeongeun Kim, Youngwan Jo, Sanghyun Park:
JAM: Unlocking SAM2 Without Training and Prompts via Medical-Aware Mask Selection. 3739-3744 - Wenting Kuang, Yufei Zhang, Yuqi Cheng, Kaishun Wu, Changhe Fan, Yongpan Zou:
Generalizable Psychiatric Screening from Wearable: Causal Disentanglement of Multi-Channel Biosignals with Interpretability Analysis. 3745-3750 - Xiaolong Li, Wenqing Ye, S. Kevin Zhou:
Distilling Dataset Summarization via Constrained Diffusion Model for Shareable Synthetic Histopathology Images. 3751-3756 - Chenglin Li, Yuhao Huang, Jiahui Pan:
SpinTSA: A Temporal-Spatial-Attentive Network with Multiscale Anchors for Sleep Spindle Detection. 3757-3762 - Jiatong Li, Hengfei Cui, Dianrong Du, Jiaxin Li, Geng Chen, Yong Xia:
Transfer Attention-Guided Multi-Receptive Field Network for Multi-Modality Cardiac Image Segmentation. 3767-3771 - Yang Li, Zhusi Zhong, Zhicheng Jiao:
Transfering Coordinates to Heatmap: Regression-Based Framework for CXR Pulmonary Nodule Detection. 3772-3777 - Tianlin Li, Yuru Pei:
Foundation Model-Guided Pseudo-Labeling for Computed Tomography-Based Segmentation of Masticatory Muscles. 3778-3783 - Shaowei Li, Pengyu Chen, Yunsheng Yuan, Heng Zhang, Yong Zhang, Chunhua Hu, Xiaolei Wang, Xiaowen Liu, Huan Yang, Feng Li:
DR-Reasoning: Detecting Diabetic Retinopathy via Reasoning VLM. 3784-3787 - Yulan Li, Shuo Jin, Kaishun Wu, Changhe Fan, Yongpan Zou:
CoMe: Contrastive Learning-based Mental Disorder Recognition with Wearable Multimodal Physiological Data. 3788-3793 - Jiyun Li, Meiqing Zhu, Chen Qian, Jiabao Zhao, Ying Shen:
Multimodal Fusion for Alzheimer's Detection from Spontaneous Speech in Label-Scarce Languages. 3794-3797 - Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Fengxiang He, Bo Du:
XAI for In-Hospital Mortality Prediction via Multimodal ICU Data. 3798-3801 - Jianyuan Li, Xiong Luo, Boyu Wang:
Active Learning for Lesion Segmentation Using Contrastive Learning with Strong Augmentation. 3802-3806 - Shuo Li, Wenbin Ouyang, Shiqi Liu, Linsen Zhang, Xiaohu Zhou, Zhiling Luo, Hong Jiang, Zengguang Hou, Xiangbin Pan, Xiaoliang Xie:
Improving Visual Understanding of Multimodal Large Models for Biomedical Images with Multi-Level Information Extraction. 3807-3810 - Zhanbo Liang, Yuping Sun, Si Li:
Generalized Nesterov-Boosted Adversarial Data Augmentation Framework for Multi-Label Chest X-Ray Image Classification. 3811-3816 - Haotian Liang, Ye Li:
MADCL-Net: Cross-Subject Emotion Recognition from Multimodal Physiological Signals via Dual Contrastive Learning with Multilevel Augmentation. 3817-3822 - Zhenpeng Liang, Hongjiao Guan, Weiyu Zhang, Ying Lian, Bing Xu, Wenpeng Lu:
AiCoder: Exploring Automated ICD Coding on Chinese EMRs with a Multi-Agent Framework. 3823-3827 - Linglin Liao, Yu Liu, Qichuan Geng:
Spatial-Aware Symmetric Alignment for Text-Guided Medical Image Segmentation. 3828-3831 - Zeyu Liu, Bo Wen, Tianyi Zhang, Peng Zhang, Yufang He, Chenbin Ma, Haoran Guo, Nan Ying, Shangqing Lyu, Guanglei Zhang:
OptiPathD: A Capacity-Optimized Diffusion Foundation Model for Pathology Image Generation. 3832-3837 - Lanrui Liu, Hongye Pang, Linqin Cai, Daohong Liu, Renyun Mou:
Meta-Learning with Attention Network for Medical Visual Question Answering. 3838-3841 - Yongfa Liu, Yu Lu, Yunhao Yang, Bin Zeng, Zexiang Guo, Yueling Lyu, Xinrui Wan, Xiao Song, Shurong Peng:
MALSeg: A Hyperspectral Benchmark and Lightweight Model for Acne Lesion Segmentation. 3842-3847 - Jingyu Liu, Meixia Zhang, Qingqing Tang, Yanfei Li, Xiaoyong Wei, Haixian Zhang:
ProtoD2C2: Prototype-Based Dual-Supervision, Dual-Consistency, and Dual-Contrastive Learning for OCT Fluid Segmentation. 3848-3851 - Jovial Niyogisubizo, Keliang Zhao, Shengqi Zhou, Ruize Han, Jintao Meng, Wenhui Xi, Yanjie Wei:
FlexiCell: Deep Learning with Learnable Adaptive Filtering and Dual Attention for Cell Segmentation. 3851-3956 - Guanjing Liu, Jing Zhou, Jing Liu:
DialogMedTab: A Dual-Modality Benchmark Dataset with Cross-Decoder Transformer (CDT) for Sentiment Analysis in Doctor-Patient Dialogues. 3852-3857 - Xiaoling Liu, Zilong He, Wei Liang, Yue Li, Yun Teng, Chushan Lin, Jiahui Jia, Qianli Zhong, Yile Bin, Jiayi Li, Xiangyuan Ma, Weiguo Chen, Yao Lu:
Glandular Distribution-Aware Pretraining for Architectural Distortion Detection in Digital Breast Tomosynthesis. 3858-3861 - Wentao Lu, Yun Luo, Yuhao Huang, Fei Wang, Jiahui Pan:
RS-EGT: Resting-State EEG Graph Transformer for Large-Scale EEG Signal Analysis. 3862-3867 - Dan Lu, Yanchen Xu, Yingnan Zhao, Hongyang Zhao, Yi Lin:
MSC-TFN: Multi-Scale Convolutional and Transformer Fusion Network for Breast Tumor Classification in Ultrasound Images. 3868-3873 - Anwen Lu, Mingxin Liu, Yiping Jiao, Geyang Xu, Hongyi Gong, Chengfei Cai, Jun Chen, Jun Xu:
A Hierarchical Geometry-Guided Transformer for Histological Subtyping of Primary Liver Cancer. 3874-3877 - Hang Lu, Jing Feng, Dan Zheng:
MSCTA-Net: Multi-Scale CNN-Transformer for Multi-Class Arrhythmia Detection from PPG Signals. 3878-3881 - Yu Lu, Wei Zhang:
Task-Adaptive Framework for Joint Medical Image Segmentation and Landmark Detection. 3882-3887 - Tian-Jian Luo:
Cross-Subject sEMG Gesture Recognition via Intra-Class Regularizing and Consistent Graph Embedding. 3888-3893 - Lihui Luo, Joongwon Chae, Yang Liu, Igor Pantic, Vladan Devedzic, Zhumei Sun, Zelin Zeng, Sanatbek Matlatipov, Xiaoming Yin, Peiwu Qin:
ViTCM-LLM: A Multimodal RAG Framework for Advanced TCM Clinical Decision Support. 3894-3899 - Xinyi Luo, Shaoyu Wang, Nuo Chen, Shiying Yang, Xiujin Shi:
SAF-Mamba: Scale-Aware Mamba with Adaptive Frequency Filters for Cardiac Image Segmentation. 3900-3903 - Changbin Lv, Xinyu Li, Weihua Wang:
An End-to-End Framework for Reconstructing Continuous Language from fMRI Data. 3904-3907 - Shiyu Lv, Caihong Zhao:
RGCLSleep: Rule Guided Contrastive Learning Model for Sleep Staging. 3908-3912 - Tengxiao Lv, Ling Luo, Juntao Li, Yanhua Wang, Yuchen Pan, Chao Liu, Yanan Wang, Yan Jiang, Huiyi Lv, Yuanyuan Sun, Jian Wang, Hongfei Lin:
A Unified Biomedical Named Entity Recognition Framework With Large Language Models. 3913-3916 - NianJiang Lv, Hui Meng, Hongyu Liu, Lusha Li, Haochen Zhao, Junli Wang:
S3Seg: Semantic and Structural Synergy for Semi-Supervised Multi-Organ Segmentation in Abdominal CT. 3917-3920 - Yang Ma, Dongang Wang, Peilin Liu, Michael Barnett, Dingxuan Zhou, Weidong Cai, Chenyu Wang:
Multi-Scale Visual Prompting for Robust Visual Question Answering in Medical Imaging. 3921-3925 - Junqiang Ma, Luyi Han, Dengqiang Jia, Hui Xie, Tao Tan, Henry H. Y. Tong, Anne W. M. Lee, Sung Inda Soong, Yue Sun:
Grad-MTSeg: Mitigating Multi-Task Gradient Conflicts via Hierarchical Gradient Optimization for NPC Radiotherapy Delineation. 3926-3929 - Armand Bandiang Massoua, Mohamed Bouguessa, Abdoulaye Baniré Diallo:
Survival Structured Probabilistic Coding: Uncertainty-Aware Representation Learning for Time-to-Event Prediction. 3930-3935 - Mengqing Mei, Dong Liang, Lyuyang Tong:
VRP-Scribformer: A CNN-Transformer Hybrid Model for Scribble-Based Medical Image Segmentation with Visual Reference Prototype Encoder and Channel-Spatial Attention Module. 3936-3939 - Xikun Meng, Zhenzhen Dong, Dong Li, Tong Zheng, Songming Zheng, Yuqing Dong, Qi Liu:
Wavelet-Attentive Diffusion for Mammogram Generation: Anatomical Structure-Constrained Mammogram Synthesis. 3940-3945 - Haitao Nie, Yimeng Zheng, Ying Ye, Bin Xie:
MTurn-Seg: A Large-Scale Bilingual Medical Benchmark for Multi-Turn Reasoning Segmentation. 3946-3950 - Yanchi Ou, Yufeng Chen, Shijie Xu, Siyu Chen, Xiaoqian Zhang, Jie Lin:
LPM-Net: Lightweight Periodic Modeling Medical Image Segmentation Network Based on Supervision Strategy. 3957-3962 - Minxi Ouyang, Yuqiu Fu, Renao Yan, Shanshan Shi, Xitong Ling, Lianghui Zhu, Yonghong He, Tian Guan:
MergeUp-Augmented Semi-Weakly Supervised Learning for WSI Classification. 3963-3968 - Haiwei Pan, Chunling Chen, Kejia Zhang, Yuchao Zhang, Jian Guan:
Federated Prototype-Aware Pseudo-Labeling for Semi-Supervised Medical Image Classification. 3975-3978 - Wentao Pan, Donghuan Lu, Jiangpeng Yan, Zhe Xu, Conghao Xiong, Dong Wei, Xian Wu, Yixuan Yuan:
Improving Instance-Based Whole Slide Image Classification with Logit-Based Log-Sum-Exp Aggregator and Contextual Awareness. 3979-3984 - Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yifan Qin, Xueyang Li, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi:
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective. 3985-3990 - Yan Pang, Shuyu Yan, Chang Liu, Yupei Zhang:
Learning More Significant Higher-Order Interactions Among Brain Regions. 3997-4001 - Jueon Park, Yein Park, Minju Song, Soyon Park, Donghyeon Lee, Seungheun Baek, Jaewoo Kang:
CoTox: Chain-of-Thought-Based Molecular Toxicity Reasoning and Prediction. 4002-4007 - Inseo Park, Yoon Sil Jang, Gwiseong Moon, Hyun-Soo Choi, Kyoung Min Moon:
Structure-Aware Deep Segmentation of Nasogastric Tubes: A Benchmark of Modern Topological Losses and Augmentations. 4008-4011 - Haozhe Peng, Aiping Qu, Yatao Zeng:
A Hybrid Framework for Multimodal Cancer Survival Prediction. 4012-4015 - Guansheng Peng, Zhuo Jin, Shaoxuan Wu, Yuhao Dong, Ying Huang, Xiao Zhang, Jun Feng:
A Coarse-to-Fine Progressive Ensemble Framework for Coronary Artery Labeling. 4016-4019 - Jiaxin Qi, Yan Cui, Jinli Ou, Jianqiang Huang:
Graph Neural Networks as a Substitute for Transformers in Single-Cell Transcriptomics. 4020-4025 - Xin Qian, Luoxi Zhu, Zhang Xiong, Wei Ke, Lingyun Bao, Tao Tan:
Spatiotemporal Uncertainty-Aware Mamba-Transformer Synergy: Breast Cancer Detection in ABUS. 4026-4029 - Yupeng Qiang, Xunde Dong, Xiuling Liu, Chen Xu, Fei Hu, Rongjia Wang:
DF-MLSL: An Effective Distillation Framework for Multi-Label Single-Lead ECG Classification. 4030-4035 - Jinhao Qiao, Sihan Li, Jiang Liu, Heng Yu, Yi Xiao, Hongshan Yu, Yan Zheng:
Med-SER: Enhancing Reasoning Interpretability in Medical Visual Question Answering via Structured Chain-of-Thought. 4036-4040 - Yiwei Ru, Zhenbo Xu, Yanlin Xu, Min Ren, Huijia Wu, Zhaofeng He, Zhenan Sun:
Psyche-Wave: Fusing Vector-Quantized Morphology and LLM-Inferred Semantics from Millimeter-Wave SCG for Psychological State Decoding. 4041-4046 - Xiaolong Shen, Yufei Chen, Yina Li, Xiaodong Yue, Chao Ma:
A Causality-Driven Multi-Modal Alignment Method in Medical Classification. 4047-4050 - Yucheng Shi, Tianze Yang, Canyu Chen, Quanzheng Li, Tianming Liu, Xiang Li, Ninghao Liu:
SearchRAG: Can Search Engines Be Helpful for LLM-Based Medical Question Answering? 4051-4056 - Xianhao Song, Junhao Huang, Yuqi She, Erke Wang, Liping Wang:
3S-ECG: Three Stage Self-Supervised Model for ECG Classification. 4057-4062 - Yantao Song, Weixiang Dou, Lu Chen:
DSConv-Mamba: High-Precision Medical Image Segmentation with Lightweight Convolution and Mamba. 4063-4068 - Jiachen Song, Jiaxiang Cao, Yan Liu, Lihong Qiao, Baobin Li:
SET-GFRN: Hybrid Architecture Fusing Structural and Functional MRI for Brain Age Estimation. 4069-4072 - Penglei Sun, Yixiang Chen, Xiang Li, Xiaowen Chu:
The Multi-Round Diagnostic RAG Framework for Emulating Clinical Reasoning. 4073-4076 - Xiaoyu Sun, Yang Yang, Xunde Dong:
Enhancing Contrastive Learning-Based Electrocardiogram Pretrained Model with Patient Memory Queue. 4077-4082 - Pengyu Sun, Thi An Le, Xinzhen Yu, Yi Gao, Ha-Nam Nguyen, Thi-Hau Nguyen, Trung-Nghia Vu, Tian Mou:
STsim: An Efficient Diffusion-Based Model for Generating Spot Images from Gene Expression in Spatial Transcriptomics. 4083-4088 - Dayu Tan, Zhenpeng Xu, Tianhao Liu, Yansen Su, Chunhou Zheng:
TBHF-Unet: Medical Image Segmentation Network Based on Three-Branch Hierarchical Fusion. 4089-4094 - Qingyu Tan, Yan Li, Byeong-Seok Shin:
LAFUL: Lesion-Aware Federated Unlearning via Channel-Wise Gradient Masking and Feature Distillation. 4095-4098 - Mingyuan Tang, Wenxuan Deng, Muhammad Owais, Ahmad Chaddad:
Simulation-Based Analysis of EEG Denoising Techniques. 4099-4102 - Jicheng Tang, Feng Liu, Zhihui Lai, Hong Keng:
AAU-Net: Adaptive Large Kernel with Feature Fusion for Medical Image Segmentation. 4103-4106 - Qiaoying Teng, Jun Chen, Xingyu Wan, Kai Han, Chongwen Lyu, Chongshang Zhong, Deqi Yuan, Zhe Liu:
Mitigating Language Bias in Medical VQA via Causally-Inspired Intervention. 4107-4110 - Maohui Tian, Yin Tian:
MFCSNet: Multi-Modal Frequency Coupling Sequence Network for Automatic Sleep Staging. 4111-4114 - Shi-Heng Tian, Yan-Kai Liu, Bao-Liang Lu, Wei-Long Zheng:
Attention-Based Graph Net with Mixture of Experts for Emotion Recognition Under Sleep Deprivation. 4115-4120 - Lyuyang Tong, Jiarui Cao, Bo Du:
LDEB-UNet: A Lightweight Differential Evolution-Based Boundary-Assisted UNet for Skin Lesion Segmentation. 4121-4124 - Jiale Wang, Hui Ma:
Spatial-Temporal Mapping-Based Predictive Segmentation for Pathology. 4125-4130 - Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang:
Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting. 4131-4134 - Fan Wang, Zhongyi Han, Yilong Yin:
Empowering Multimodal Models via Active in-Context Learning for Test-Time Medical Imaging. 4135-4140 - Yilin Wang, Li Zhang, Yan Zhang:
Discrimination-Enhanced Hierarchical Network with Structure Optimization for Cross-Subject EEG Emotion Recognition. 4141-4144 - Yunhe Wang, Meng Wang, Peiru Zhang, Bo Yang, Yue Cheng, Xiangtao Li:
MuSACL: Spatially-Adaptive Contrastive Learning with Histological Image Integration for Spatial Transcriptomics Analysis. 4145-4150 - Pantong Wang, Meiju Yu, Xiliang Pang, Guiquan Zheng, Dan Qin, Bo Wu, Ru Bai, Yueqiao Ma:
T-Unet: A Novel Deformable Transformer for Lung Nodule Segmentation. 4151-4154 - Quiyang Wang, Fangfang Gou, Yisong Wang, Jia Wu:
Pathological Image Segmentation Technology Based on Dual Attention and Multi-Scale Feature Fusion Facilitates Ai-Assisted Diagnosis. 4155-4158 - Lulu Wang, Fudong Shang, Jinglong Du, Yuanyuan Jia, Yingna Li:
MultiSG-Net: Integrating Multi-Source Structure Guidance and Uncertainty Perception in Medical Image Segmentation. 4159-4164 - Erke Wang, Junhao Huang, Long Xiao, Liping Wang, Jiangtao Wang:
MTECG: A Multimodal Text-Enhanced Self-Supervised Framework for ECG Classification via Alignment with Pretrained Language Model. 4165-4170 - Chongkai Wang, Shouhong Wan, Hantao Zhang, Peiquan Jin:
Exploring Fine-Tuning of Heterogeneous Foundation Models for Medical Image Segmentation. 4171-4174 - Jiao Wang, Yanjun Peng, Yanfei Guo:
TMSurv: A Multi-task Assisted Multimodal and Multi-granularity Survival Prediction Network for Head and Neck Cancer. 4175-4180 - Hao Wang, Ran Zhou, Wei Xia, Yang Liu, Cong Wu, Haitao Gan:
Adaptive Multi-Scale Permutation Entropy Regularizer for Deep Imbalanced Fetal Brain Age Regression. 4181-4184 - Congqian Wang, Xuelei He, Zechen Zheng, Zitong Xue, Wenjian Xu, Xiaowei He:
A Dynamic Prototype Multi-Model Fusion Framework Based on a Feature Screening Mechanism. 4185-4189 - Nan Wang, Mohan Wang, Chaoyu Yuan, Songling Han, Yingwei Xue, Jinbao Li:
A Multimodal Survival Prediction Fusion Framework Based on Prototype Learning. 4190-4193 - GuangRun Wang, Lanlan Chen, Hui Chu:
Mamba-Inspired Dual-Brain Interaction Network: Towards Hyperscanning EEG Classification. 4194-4197 - Yiping Wang, Peiren Wang, Zhenye Li, Fang Liu, Jinguo Huang:
Seizure-NGCLNet: Representation Learning of SEEG Spatial Pathological Patterns for Epileptic Seizure Detection via Node-Graph Dual Contrastive Learning. 4198-4203 - Fengyu Wang, Shaoxuan Wu, Peilin Zhang, Yuhao Dong, Ying Huang, Xiao Zhang, Jun Feng:
Structural Points Dependency-Aware Template-Free Learning for Cardiac Mesh Reconstruction. 4204-4207 - Siyu Wang, Hua Wang, Huiyu Li, Fan Zhang:
Effective Attention-Guided Multi-Scale Medical Network for Skin Lesion Segmentation. 4208-4213 - Kailing Wang, Chen Yang, Rong Lin, Xiaokang Yang, Wei Shen:
EndoSD-SLAM: Real-time Deformable Endoscopic SLAM via Sparse-Dense Hybrid Representation. 4214-4219 - Shaolong Wang, Xinyu Zhao, Zhenquan Wu, Guoming Zhang, Tianfu Wang, Baiying Lei:
Medical Knowledge-Guided CLIP Adaptation for Fundus Image Diagnosis. 4220-4223 - Xuhui Wang, Yingqi Zhang, Shu Zhang:
GMDNet: Graph-Augmented Multimodal Dual-Path Network for EEG Motor Imagery Decoding. 4224-4229 - Jiyu Wei, Dazhong Rong, Di Hong, Zhanjie Zhang, Xinyun Zhu, Qinming He, Yueming Wang:
Complementary-Disentangled Neural Generalization: a Robust Framework for Stable Brain-Computer Interfaces. 4230-4235 - Yipan Wei, Yuchen Zou, Hang Su, Yapeng Li, Bo Du:
FedProCL: Prototype-Guided Contrastive Federated Learning for Medical Image Classification Under Concept Shift. 4236-4239 - Gengqian Wei, Chuang Liang, Tülay Adali, Jing Sui, Rongtao Jiang, Vince D. Calhoun, Shile Qi:
CoMa: A Multi-View Contrastive and Masked ROI Learning Pre-Training Strategy for Multiple Brain Diseases Diagnosis. 4240-4243 - Bo Wu:
Edge-Guided CNN-Transformer Network for Retinal Images Registration. 4244-4248 - Xuanyan Wu, Jiahao Liu, Jun Cheng, Xuping Huang, Shan Tan:
Adapting 2D Foundation Models for Parkinson's Disease Diagnosis on 3D Brain MRI Images. 4249-4252 - Jiaoyang Wu, Langtao Zhou, Tianyu Fu, Xiaoxia Qu, Jian Yang:
A Dual-Branch Contrastive Network Using Symmetric Counterfactual Generation for Multi-Modal Ocular Adnexal Lymphoma Segmentation. 4253-4256 - Renkai Wu, Junwei Liu, Yinghao Liu, Pengchen Liang, Guochen Ning, Qing Chang:
Only Positive Cases: 5-Fold High-Order Spatial Attention Interaction Model for Skin Segmentation Derived Classification. 4257-4262 - Wenlong Wu, Chunlong Tu, Guosong Gao, Xiaochen Lei, Xurui Zhang, Jun Gao, Yi-Da Tang:
Beyond Point-Wise Accuracy: Assessing Temporal Fidelity and Calibration Drift in PPG-Based Wearable Blood Pressure Estimation. 4263-4268 - Zonglin Wu, Yule Xue, Qianxiang Hu, Yaoyao Feng, Yuqi Ma, Shanxiong Chen:
AnatoMaskGAN: GNN-Driven Slice Feature Fusion and Noise Augmentation for Medical Semantic Image Synthesis. 4269-4274 - Hao Wu, Hui Li, Yiyun Su:
Bridging the Perception-Cognition Gap: Re-Engineering SAM2 with Hilbert-Mamba for Robust VLM-Based Medical Diagnosis. 4275-4278 - Xiao Luan, Yule Fu, Linghui Liu, Chen Li, Weisheng Li:
Beyond Probability Guided Categorization: A Subspace Projection-Aware Approach for Medical Image Segmentation. 4279-4282 - Kexin Xie, Baoyao Yang, Wanyun Li, Fei Lyu:
Uncertainty Reactivation: Dynamic Contrastive Correction for Semi-Supervised Medical Image Segmentation. 4283-4286 - Hongyang Xie, Meirui Wang, Li Ma, Mengyu Qiao:
CyberGATE: Multimodal Cybersickness Prediction via Adaptive Multiscale Gated Feature Fusion. 4287-4290 - Xinyue Xing, Ranxuan Tang, Yanmiao Kong, Aite Zhao:
ASA-DSNet: A Dual-Stage Framework with Ambiguous Sample Augmentation for Robust Parkinson's Disease Identification. 4291-4294 - Xiangyu Xiong, Yue Sun, Jiaju Huang, Da Huang, Shaobin Chen, Zhuoneng Zhang, Tao Tan:
UA-MAE: An Uncertainty-Aware Masked Autoencoder for Breast Lesion Segmentation in Ultrasound Images. 4295-4298 - Chenyang Xu, Siming Li, Hao Wang:
H-LDM: Hierarchical Latent Diffusion Models for Controllable and Interpretable PCG Synthesis from Clinical Metadata. 4299-4304 - Rui Xu, Yunke Wang, Lihua Zhang, Yong Luo, Shu Yang, Yihui Wang, Bo Du, Hao Chen:
Masked Diffusion Models for Unsupervised Anomaly Detection in Brain Images. 4305-4308 - Kang Xu, Peihan Cai, Liqun Lu, Zitian Wang, Lingli Jiao, Ming Li, Danhua Ma, Jianxiang Wei, Zhenjiang Dong:
PIESCCA: A Chinese Dataset for Pharmacovigilance Information Extraction Based on Standardised Case Causality Assessment of National Medical Products Administration. 4309-4312 - Guangxi Xu, Huifu Li, Yingying Liu, Xun Zhang, Ying Liu:
A Multimodal Sleep Stage Classification Model Based on Self-Supervised Pretraining and Cross-Attention Mechanism. 4313-4318 - Jucai Yang, Liang Li, Yiwei Gu, Haiqin Wu:
Fast Authenticated and Interoperable Multimedia Healthcare Data Over Hybrid-Storage Blockchains. 4319-4322 - Xinyue Yang, Meiliang Liu, Yunfang Xu, Xiaoxiao Yang, Zijin Li, Zhengye Si, Zhiwen Zhao:
SFNet: A Spatial-Frequency Domain Deep Learning Network for Efficient Alzheimer's Disease Diagnosis. 4323-4328 - Fan Yang, Liang Zhang, Honglan Huang, Jiheng Zhang:
Annotation-Free Mask-Guided Transformer for Real-Time Multi-Aspect Blastocyst Grading. 4329-4334 - Songxiao Yang, Haolin Wang, Masayuki Ikebe, Tamotsu Kamishima, Yafei Ou, Masatoshi Okutomi:
AP-DPM: A Dual-Path Merging Network Via Adversarial Anatomical Prior Guidance for Wrist Bone Segmentation. 4335-4340 - Jingzhi Yang, Yiming Shi, Xun Zhu, Ziyu Liu, Ji Wu, Ming Ni, Huishu Yuan, Miao Li, Xiangling Fu:
3D-HSPA: Integrating 3D Spatial Information with Hierarchical Slice-Patch Attention for Knee MRI Analysis. 4341-4344 - Haoyu Yin, Jing Hu:
Dynamic Co-Evolution Mechanism and Multi-View Collaborative Distillation Optimization for Semi-Supervised Medical Image Segmentation. 4351-4354 - Xinglin Yu, Xiutao Shi, Xiao Chen, Xuan Li, Guangdian Zhang, Aite Zhao:
An Efficient Hierarchical Network for Segmentation of Linear Structures in Biomedical Images. 4355-4358 - Lianyuan Yu, Xiuzhen Guo, Xuying Zhao, Hongwei Li:
A Diffusion and Spatial Prototype Learning Method for Semi-Supervised Medical Image Segmentation. 4359-4364 - Yongrui Yu, Linrui Dai, Hanyu Chen, Shaoting Zhang, Xiaofan Zhang:
Mesenteric Vasculature Guided Segmentation of Metastatic Lymph Nodes in Colorectal Cancer. 4365-4370 - Kang Yu, Junlin Guan, Rushu Lan, Huadeng Wang, Xipeng Pan, Xiaonan Luo:
Prior Knowledge-Augmented Weakly Supervised Mitosis Detection in Breast Pathology Image. 4371-4374 - Zhiming Yu, Zhiyuan Ding, Zhongfei Qing, Qian Xu, Baohong Zhao, Jiyan Cui, Haiyan Li, Yan Liu:
ProtoSAM: Semi-Supervised Prototypical Guidance for 3D Medical Image Segmentation with SAM. 4375-4378 - Xusheng Yu, Kaisong Zhang, Hang Lv, Guofang Ma, Zhigang Lin, Xiping Chen, Yanchao Tan:
RQCare: A Residual Quantization Model for Disease Representation and Diagnosis Prediction in Healthcare Data. 4379-4382 - Han Yu, Minghao Sun, Chenghui Jiang, Shaowei Liu:
SAM-Enhanced Automated Postoperative Swallowing Quantification via Cine-MRI. 4383-4387 - Manman Yuan, Yihao Guo, Jiazhen Ye, Can Yin, Weiming Jia, Junlin Li:
CAHNOC: Cluster-Aware Hypergraph Network for Brain Disease Identification via Orthogonal Clustering and Contrastive Learning. 4388-4391 - Biyang Zeng, Shikui Tu, Wen Zhang, Lei Xu:
CATSyn: Predicting Synergistic Drug Combinations Through Context-Aware Heterogeneous Graph Convolution Model. 4392-4395 - Chaobo Zhang, Long Tan:
Diffusion and Heterogeneous Hierarchical Network-Guided Dosage Prediction for Traditional Chinese Medicine Formula Recommendation. 4396-4401 - Yukun Zhang, William Henry Nailon, Tonggang Zhao, Guisheng Wang, Kun Cheng:
Multi-Scale Channel Attention with Adaptive Frequency Decoupling for Medical Image Segmentation. 4402-4407 - Peng Zhang, Yida Wu, Chen Liu, Heyang Zhao, Xingyu Liu, Zeyu Liu, Guanglei Zhang, Wenjian Wang:
CGCA-KAN: Correction-Guided Cluster-Aware Attention and KAN Enhanced Architecture for Medical Image Segmentation. 4408-4413 - Shiyi Zhang, Dong Liang, Hairong Zheng, Yihang Zhou:
HAVIR: Hierarchical Vision to Image Reconstruction Using Clip-Guided Versatile Diffusion. 4414-4419 - Yuchao Zhang, Haiwei Pan, Kejia Zhang, Xu Zhang, Chunling Chen:
MCL-FENet: Multi-Level Contrastive Learning with Feature Enhancement Network for Medical Report Generation. 4420-4423 - Yong Zhang, Xuesong Xu, Cheng Cheng:
Autoencoder-Based Multi-Teacher Distillation Network for Emotion Recognition with Incomplete Data. 4424-4427 - Peng Zhang, Zhenhao Peng, Yuan Li, Hanxiao Huang, Bin Zhang, Haotian Song, Meng Geng, Yubo Tao, Hai Lin:
Efficient ToothAR: Cascade Autoregressive Orthodontic Treatment Planning. 4428-4433 - Wei Zhang, Wenhao Jiang, Chenyue Song, Siqiao Li, Yongying Tan, Yuzhou Zhu:
CMC-GAN: Cross-Modal Coupled GAN with Double Discriminators for PET/ CT Image Fusion. 4434-4439 - Jiankun Zhang, Longlong Ma, Huidan Liu, Bo An, Qilong Sun:
IRG-RAG: An Iterative Reflective Graph Retrieval-Augmented Generation Method for Chinese Medicine. 4440-4445 - Nuojunxi Zhang, Meng Xu, Guanchao Tong, Kuan Huang:
Segmenting What Matters: A Dual Stage Active Learning Framework for Weakly Supervised Breast Ultrasound Segmentation. 4446-4451 - Yang Zhang, Zhipeng Zhou, Zhiming Dai:
ACID: Improving Ambiguous Cell Type Annotation in Spatial Transcriptomics. 4452-4457 - Jie Zhang, Gaoyang Zheng, Hang Lv, Linhao Luo, Guofang Ma, Zhigang Lin, Xiping Chen, Yanchao Tan:
$\mathrm{D}^{2}$ KGMed: Dynamic Diagnostic Knowledge Graphs for Medical Diagnosis Prediction. 4458-4461 - Zibo Zhao, Yanteng Zhang, Chuanyi Zhang, Congyu Zou, Qiang Liu, Vince D. Calhoun:
Cross Hemisphere-Aware Hybrid Neural Network for AD Diagnosis Based on PET Imaging. 4462-4466 - Rongchang Zhao, Huanchi Liu, Jian Zhang:
SWinMamba: Serpentine Window State Space Model for Vascular Segmentation. 4467-4470 - Yuanxin Zhao, Fengjun Zhao, Huachen Zhang, Lijuan Yang, Xuelei He, Xiaowei He:
OMGAN: One-to-Many Generative Adversarial Network for Diagnosing Orbital Lymphoproliferative Disorders in Incomplete Multi-Parametric MRI. 4471-4476 - Yang Zhao, Zikang Cai, Xudong Li, Ni Zeng, Xiaomei Kang, Shiqi Wang, Jihong Pei, Xuan Yang, Jiahui Wu:
Improved Mask R-CNN with Attention U-Net Feature Extractor for Pronucleus Instance Segmentation in Fertilized Egg Embryo. 4477-4482 - Rongchang Zhao, Xiangkun Jian, Jian Zhang:
CFTA: Class-Wise Fair Test-Time Adaptation of Biased Models for Long-Tailed Recognition. 4483-4486 - Zhihao Zhao, Yinzheng Zhao, Junjie Yang, Xiangtong Yao, Quanmin Liang, Daniel Zapp, Kai Huang, Nassir Navab, M. Ali Nasseri:
UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation. 4487-4490 - Jiahao Zhao, Luxin Xu, Minghuan Tan, Lichao Zhang, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang:
RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation. 4491-4496 - Song Zhao, Yalan Ye, Shuhua Wang, Xiaobing Zhou:
DBA-Net: Dynamic Boundary-Aware Network for 3D Medical Point Cloud Segmentation. 4497-4502 - Zhehuan Zhao, Yuran Zhang, Bo Xu, Ludan Zhang, Yu Liu, Shimin Shan, Jian Wang, Hongfei Lin:
NaviPath: A Novel Knowledge Graph-Based RAG Framework for Medical QA. 4503-4506 - Tong Zheng, Dong Li, Xikun Meng, Yuqing Dong, Songming Zheng, Qi Liu:
VM-MSNet: Vision Mamba-Fused Multi-Scale Feature Network for Medical Image Segmentation. 4507-4512 - Dashun Zheng, Patrick Cheong-Iao Pang, Jiaxuan Li, Wei Li, Yanming Zhang, Edmundo Patricio Lopes Lao, Yapeng Wang, Zhifan Gao, Tao Tan:
Vision-Language Semantic Guidance for Ejection Fraction Assessment in Echocardiography. 4513-4516 - Yuxi Zheng, Jianhui Feng, Tianran Li, Marius Staring, Yuchuan Qiao:
SHMoAReg: Spark Deformable Image Registration via Spatial Heterogeneous Mixture of Experts and Attention Heads. 4517-4520 - Jiaqi Zheng, Dongqi Li, Glen M. Borchert, Jiawen Lin, Jingshan Huang:
Structure-Aware Unsupervised Enhancement of Low-Light Fundus Images. 4521-4524 - Hongjie Zheng, Zesheng Shi, Ping Yi:
MedCoAct: Confidence-Aware Multi-Agent Collaboration for Complete Clinical Decision. 4525-4528 - Zeheng Zhong, Hongzhi Liu, Zhonghai Wu:
Interpretable Herb-Disease Association Prediction with Molecular-Aware Multi-View Representation Learning. 4529-4534 - Chengxin Zhong, Xunde Dong, Yang Yang, Xiuling Liu, Chen Xu:
EmoNet-ECG: A Lightweight Inverted Pyramid Architecture for Joint Valence-Arousal Prediction Using Raw ECG. 4535-4540 - Xiaolong Zhong, Fei Wu, Yoshiharu Hirano, Zhong Yin, Gang Liu:
Adaptive Spatiotemporal Transformer for EEG-Based Emotion Recognition. 4541-4545 - Jiaheng Zhou, Yanfeng Zhou, Wei Fang, Yuxing Tang, Le Lu, Ge Yang:
E-ViM3: Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos. 4546-4551 - Xiang Zhu, Mustaqeem Khan, Eya Mhedhbi, Yujian Liang, Alice Othmani:
TRUSS-Med: Medical Question Answering via Transformers, Retrieval, and Unified State Space Models. 4552-4557 - Dashuang Zhu, Pengjiang Qian, Chuang Wang, Yang Wu, Xin Ning, Jiafeng Yao:
TFMSCNet: Dual Time-Frequency Modeling with Multi-Scale Feature Enhancement for EIT-Based Pulmonary Disease Diagnosis. 4558-4561 - Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Yuanyuan Liu, Zhaochi Wen, Jianfeng Ren, Chengbo Wang, Dong Liang:
Equivariant Deformable Convolutions for Unrolling Networks in Cardiac Cine MR Imaging. 4562-4567 - Mingye Zou, Xinghua Ma, Yacong Li, Taiping Qu, Kuanquan Wang, Gongning Luo:
CLEAR-Net: A Discretization-Aware Framework for Scale and Domain Adaptive Metal Artifact Reduction in CT. 4568-4571 - Linyong Zou, Liang Zhang, Xiongfei Wang, Jia-Hong Gao, Yi Sun, Shurong Sheng, Kuntao Xiao, Wanli Yang, Pengfei Teng, Guoming Luan, Zhao Lv, Zikang Xu:
Fair-Esi: Feature Adaptive Importance Refinement for Electrophysiological Source Imaging. 4572-4577 - Chaoyuan Zuo, Chenlu Wang, Ritwik Banerjee:
Large-Scale Biomedical Expert Finding for Health Claim Verification: A PubMed-based Retrieval Framework. 4578-4583 - Songyang An, Zizhao Meng, Xiao Li:
Multi-Adversarial Domain Adaptation-Based Decoder Calibration for Intracortical Brain-Computer Interfaces. 4590-4596
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