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ORCID26th MICCAI 2023: Vancouver, BC, Canada - Part IV
- Hayit Greenspan, Anant Madabhushi
, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14223, Springer 2023, ISBN 978-3-031-43900-1
Image Segmentation II
- Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong:
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. 3-13 - Shishuai Hu, Zehui Liao, Yong Xia:
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. 14-23 - Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Transformer-Based Annotation Bias-Aware Medical Image Segmentation. 24-34 - Kai Ren, Ke Zou, Xianjie Liu, Yidi Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu:
Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation. 35-45 - Ziquan Wei, Tingting Dan, Jiaqi Ding, Mustafa Dere, Guorong Wu:
A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images. 46-55 - Jiameng Liu, Feihong Liu, Kaicong Sun, Mianxin Liu, Yuhang Sun, Yuyan Ge, Dinggang Shen:
Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. 56-66 - Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz:
Robust Segmentation via Topology Violation Detection and Feature Synthesis. 67-77 - Ziyang Zheng, Jiewen Yang, Xinpeng Ding, Xiaowei Xu, Xiaomeng Li:
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation. 78-88 - Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia:
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation. 89-99 - Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan:
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI. 100-109 - Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang:
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. 110-119 - Xiangyu Zhao, Zhenrong Shen, Dongdong Chen, Sheng Wang, Zixu Zhuang, Qian Wang, Lichi Zhang:
One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification. 120-129 - Yuan Bi, Zhongliang Jiang, Ricarda Clarenbach, Reza Ghotbi, Angelos Karlas, Nassir Navab:
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization. 130-140 - Malo de Boisredon, Eugene Vorontsov, Samuel Kadoury:
M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision. 141-151 - Boxiang Yun, Qingli Li, Lubov B. Mitrofanova, Chunhua Zhou, Yan Wang:
Factor Space and Spectrum for Medical Hyperspectral Image Segmentation. 152-162 - Tao Chen, Yitian Zhao, Lei Mou, Dan Zhang, Xiayu Xu, Mengting Liu, Huazhu Fu, Jiong Zhang:
RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization. 163-172 - Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras:
QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. 173-182 - Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou:
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. 183-193 - Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan:
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. 194-205 - Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen:
TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation. 206-215 - Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Louise Hull, Gustavo Carneiro:
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. 216-226 - Masoud Mokhtari, Mobina Mahdavi, Hooman Vaseli, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang, Renjie Liao:
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms. 227-237 - Dan Yin, Wei Huang, Zhiwei Xiong, Xuejin Chen:
Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation. 238-248 - Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
A Sheaf Theoretic Perspective for Robust Prostate Segmentation. 249-259 - Hritam Basak, Zhaozheng Yin:
Semi-supervised Domain Adaptive Medical Image Segmentation Through Consistency Regularized Disentangled Contrastive Learning. 260-270 - Yazhou Zhu, Shidong Wang, Tong Xin, Haofeng Zhang:
Few-Shot Medical Image Segmentation via a Region-Enhanced Prototypical Transformer. 271-280 - Qixiang Zhang, Yi Li, Cheng Xue, Xiaomeng Li:
Morphology-Inspired Unsupervised Gland Segmentation via Selective Semantic Grouping. 281-291 - Fan Sun, Zhiming Luo, Shaozi Li:
Boundary Difference over Union Loss for Medical Image Segmentation. 292-301 - Amith Kamath, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity. 302-311 - Qiang Ma, Liu Li, Vanessa Kyriakopoulou, Joseph V. Hajnal, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. 312-322 - Yinglin Zhang, Ruiling Xi, Huazhu Fu, Dave Towey, Ruibin Bai, Risa Higashita, Jiang Liu:
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-Aware Network. 323-332 - Dong She, Yueyi Zhang, Zheyu Zhang, Hebei Li, Zihan Yan, Xiaoyan Sun:
EoFormer: Edge-Oriented Transformer for Brain Tumor Segmentation. 333-343 - Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang:
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. 344-353 - Zhiwei Deng, Songnan Xu, Jianwei Zhang, Jiong Zhang, Danny J. J. Wang, Lirong Yan, Yonggang Shi:
Shape-Aware 3D Small Vessel Segmentation with Local Contrast Guided Attention. 354-363 - Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. 364-373 - Haolin Yuan, John N. Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, Yinzhi Cao:
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. 374-384 - Junyan Lyu, Pengxiao Xu, Fatima A. Nasrallah, Xiaoying Tang:
Learning Ontology-Based Hierarchical Structural Relationship for Whole Brain Segmentation. 385-394 - Bolun Zeng, Li Chen, Yuanyi Zheng, Ron Kikinis, Xiaojun Chen:
Fine-Grained Hand Bone Segmentation via Adaptive Multi-dimensional Convolutional Network and Anatomy-Constraint Loss. 395-404 - Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. 405-415 - Yufan He, Vishwesh Nath, Dong Yang, Yucheng Tang, Andriy Myronenko, Daguang Xu:
SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation. 416-426 - Jiacheng Wang, Jing Yang, Qichao Zhou, Liansheng Wang:
Medical Boundary Diffusion Model for Skin Lesion Segmentation. 427-436 - Lian Liu, Han Zhou, Jiongquan Chen, Sijing Liu, Wenlong Shi, Dong Ni, Deng-Ping Fan, Xin Yang:
Instructive Feature Enhancement for Dichotomous Medical Image Segmentation. 437-447 - Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets. 448-458 - Yuchen Yuan, Xi Wang, Xikai Yang, Ruijiang Li, Pheng-Ann Heng:
Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation. 459-469 - Xueyang Wu, Tao Zhong, Shujun Liang, Li Wang, Gang Li, Yu Zhang:
Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images. 470-480 - Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Ting Liu, Yuzhuo Fu:
EGE-UNet: An Efficient Group Enhanced UNet for Skin Lesion Segmentation. 481-490 - Tao Chen, Chenhui Wang, Hongming Shan:
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation. 491-501 - Xinyi Zeng, Pinxian Zeng, Cheng Tang, Peng Wang, Binyu Yan, Yan Wang:
DBTrans: A Dual-Branch Vision Transformer for Multi-Modal Brain Tumor Segmentation. 502-512 - Sutanu Bera, Vinay Ummadi, Debashis Sen, Subhamoy Mandal, Prabir Kumar Biswas:
Memory Replay for Continual Medical Image Segmentation Through Atypical Sample Selection. 513-522 - Rui Sun, Huayu Mai, Naisong Luo, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Structure-Decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation. 523-533 - Wenhui Zhang, Surajit Ray:
Deep Probability Contour Framework for Tumour Segmentation and Dose Painting in PET Images. 534-543 - Tomer Amit, Shmuel Shichrur, Tal Shaharabany, Lior Wolf:
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models. 544-554 - Hyuna Cho, Yubin Han, Won Hwa Kim:
Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation. 555-566 - Yuming Zhong, Yi Wang:
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI. 567-577 - Yuhui Song, Xiuquan Du, Yanping Zhang, Chenchu Xu:
Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation. 578-588 - José Morano, Guilherme Aresta, Dmitry A. Lachinov, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation. 589-599 - Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan:
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. 600-610 - Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Certification of Deep Learning Models for Medical Image Segmentation. 611-621 - G. Jignesh Chowdary, Zhaozheng Yin:
Diffusion Transformer U-Net for Medical Image Segmentation. 622-631 - Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. 632-641 - Xian Lin, Zengqiang Yan, Xianbo Deng, Chuansheng Zheng, Li Yu:
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. 642-651 - Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang:
Edge-Aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI. 652-661 - Wenjing Lu, Jiahao Lei, Peng Qiu, Rui Sheng, Jinhua Zhou, Xinwu Lu, Yang Yang:
UPCoL: Uncertainty-Informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. 662-672 - Zirui Wang, Yi Hong:
A2FSeg: Adaptive Multi-modal Fusion Network for Medical Image Segmentation. 673-681 - Jianfeng Zhao, Shuo Li:
Learning Reliability of Multi-modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models. 682-691 - Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue:
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. 692-702 - Luisa Neubig, Andreas M. Kist:
Evolutionary Normalization Optimization Boosts Semantic Segmentation Network Performance. 703-712 - Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang:
DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability. 713-723 - Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu:
Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images. 724-733 - Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert:
NISF: Neural Implicit Segmentation Functions. 734-744 - Gasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec:
Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk. 745-755 - Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho, Yiyu Shi:
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation. 756-765 - Ahmed H. Shahin, Yan Zhuang, Noha El-Zehiry:
From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation. 766-775 - Santiago Gómez, Daniel Mantilla, Brayan Valenzuela, Andres Ortiz, Daniela D. Vera, Paúl Camacho, Fabio Martínez:
Ischemic Stroke Segmentation from a Cross-Domain Representation in Multimodal Diffusion Studies. 776-785 - Zhenyu Tang, Zhenyu Zhang, Huabing Liu, Dong Ni, Jing Yan:
Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping. 786-795
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