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ORCID4th AMAI@MICCAI 2025: Daejeon, South Korea
- Shandong Wu
, Behrouz Shabestari, Lei Xing:
Applications of Medical Artificial Intelligence - 4th International Workshop, AMAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings. Lecture Notes in Computer Science 16206, Springer 2026, ISBN 978-3-032-09568-8 - Yuxiang Lai, Jike Zhong, Vanessa Su, Xiaofeng Yang:
Sequential Organ Motion Prediction via Autoregressive Modeling. 1-11 - Julia Werner, Oliver Bause, Julius Oexle, Maxime Le Floch, Franz Brinkmann, Jochen Hampe, Oliver Bringmann:
Seeing More with Less:Video Capsule Endoscopy with Multi-task Learning. 12-21 - Gwiseong Moon, Kyoung Min Moon, Inseo Park, Kanghee Lee, Doohee Lee, Woojin Kim, Yoon Kim, Hyun-Soo Choi:
TUBA: AI-Assisted Nasogastric Tube Placement Assessment System. 22-31 - Shangqi Gao, Sihan Wang, Yibo Gao, Boming Wang, Xiahai Zhuang, Anne Warren, Grant Stewart, James O. Jones, Mireia Crispin-Ortuzar:
Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer. 32-41 - Yanteng Zhang, Songheng Li, Yi Wu, Chuanyi Zhang, Congyu Zou, Vince D. Calhoun:
Joint Task Network for Integrating Cognitive Scores and Image Feature in AD Diagnosis. 42-51 - Zhiyan Bo, Laura C. Coates, Bartlomiej W. Papiez:
Interpretable Rheumatoid Arthritis Scoring via Anatomy-Aware Multiple Instance Learning. 52-62 - Han Liu, Riqiang Gao, Eileen Krieg, Sasa Grbic:
PanDx: AI-Assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT. 63-71 - Shen Liu, Yihuang Hu, Weiping Lin, Ying Huang, Jun Hou, Baptiste Magnier, Liansheng Wang:
MVMIL: Multi-view Multiple Instance Learning for Whole Slide Image Classification of Bladder Cancer. 72-81 - Shen Liu, Weiping Lin, Wentai Hou, Yuanzheng Lou, Baptiste Magnier, Yanqing Ding, Liansheng Wang:
Multi-stage Multi-resolution Fusion for Accurate and Efficient Whole Slide Image Segmentation in Colorectal Cancer. 82-92 - Luka Skrlj, Samuel Kadoury, Tomaz Vrtovec:
Transformer-Based Instance Detection in 3D Medical Images. 93-102 - Miguel Díaz Benito, Cecilia Diana-Albelda, Álvaro García-Martín, Jesús Bescós, Marcos Escudero-Viñolo, Juan Carlos San Miguel:
MIRAGE: Retrieval and Generation of Multimodal Images and Texts for Medical Education. 103-112 - Dongdong Gu, Yuzhong Chen, Xuejian Li, Xi Ouyang, Zhong Xue, Dinggang Shen:
Multitask Deep Learning Model for Liver Segmentation and Lesion Classification from Multisequence MRI. 113-121 - Jin Lee, Vu Dang, Gwang-Hyun Yu, Anh Le, Zahid Rahman, Jin-Ho Jang, Heonzoo Lee, Kun-Yung Kim, Jin-Sul Kim, Jin-Young Kim:
HU-Based Foreground Masking for 3D Medical Masked Image Modeling. 122-131 - Miriam Gutiérrez-Fernández-Calvillo, Laura Valeria Perez-Herrera, Nerea Arrarte Terreros, Karen López-Linares Román:
FLOw-Loss: A Hybrid Loss for Centerline-Aware Segmentation in XCA. 132-141 - Eunju Lee, SeungHoon Lee, YoungBin Kim, Jong-hyuk Ahn:
XTag-CLIP: Robust and Reliable Thyroid Scar Analysis with Limited Data via Cross-Attention. 142-151 - JinGyo Jeong, Younghyun Park, Sejung Yang:
Text2Organ: Text-Driven Multimodal Organ Segmentation for CT Scans. 152-161 - Louise Guillon, Soheib Biga, Yendoubé E. Kantchire, Mouhamadou Lamine Sane, Grégoire Pasquier, Kossi Yakpa, Stéphane E. Sossou, Marc Thellier, Laurent Bonnardot, Laurence Lachaud, Renaud Piarroux, Ameyo M. Dorkenoo:
Towards Field-Ready AI-Based Malaria Diagnosis: A Continual Learning Approach. 162-172 - Talha Ilyas, Deval Samirbhai Mehta, Shobi Sivathamboo, Ilma Wijaya, Rob Steele, Hugh Simpson, Lyn Millist, Terence J. O'Brien, Patrick Kwan, Zongyuan Ge:
Privacy-Centric Seizure Diagnosis via Relation-Aware Fusion of Minimally-Invasive Modalities. 173-183 - Dmitrii Seletkov, Sophie Starck, Ayhan Can Erdur, Yundi Zhang, Daniel Rueckert, Rickmer Braren:
Whole-Body Representation Learning For Competing Preclinical Disease Risk Assessment. 184-194 - Shekhnaz Idrissova, Islem Rekik:
Multimodal Sheaf-Based Network for Glioblastoma Molecular Subtype Prediction. 195-205 - Mahmoud Alwakeel, Emory Buck, Jonathan G. Martin, Imran Aslam, Sudarshan Rajagopal, Jian Pei, Mihai V. Podgoreanu, Christopher J. Lindsell, An-Kwok Ian Wong:
Evaluating Large Language Models for Automated Clinical Abstraction in Pulmonary Embolism Registries: Performance Across Model Sizes, Versions, and Parameters. 206-215 - Jungwoo Bae, Jitae Shin:
MFG Sampling: Solving Inverse Problems in Multi-level High-Frequency Guidance via Diffusion Models. 216-224 - Fei Yao, Xiang Zhang, Xinang Jiang, Yi Xiao, Li Fan, S. Kevin Zhou, Shiyuan Liu:
Vision-Language Sliding Cross Attention for Text-Guided Pneumonia Segmentation. 225-234 - Benjamin Burns, Yuan Xue, Douglas W. Scharre, Xia Ning:
Flexible Multimodal Neuroimaging Fusion for Alzheimer's Disease Progression Prediction. 235-245 - Julia Hindel, Ema Mekic, Enamundram Naga Karthik, Rohit Mohan, Daniele Cattaneo, Maria Kalweit, Abhinav Valada:
Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation. 246-257 - Loris Giordano, Jakub Ceranka, Selene De Sutter, Kaoru Tanaka, Gert Van Gompel, Tom Lenaerts, Jef Vandemeulebroucke:
A Modular Deep-Learning Pipeline for Automated Aorta Characterization on CT. 258-267 - Kabir Hamzah Muhammad, Marawan Elbatel, Yi Qin, Xiaomeng Li:
Echo-Path: Pathology-Conditioned Echo Video Generation. 268-277 - Yunheng Wu, Liangyi Wang, Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Shuntaro Kawamura, Takanori Takebe, Kensaku Mori:
Domain-Specific Pretraining and Fine-Tuning with Contrastive Learning for Fluorescence Microscopic Image Segmentation. 278-288 - Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, Hervé Delingette:
Automatic Segmentation of Lower-Limb Arteries on CTA for Pre-surgical Planning of Peripheral Artery Disease. 289-298 - Jiwoo Song, Jaeseok Jang, Soohwa Song, Dong Hoon Shin, Dohyun Kim:
Feature-Space Kernel Prediction Network for Denoising of Low-Dose Brain CT. 299-308 - Jeanny Pan, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Jennifer Straub, Lucian Beer, Helmut Prosch, Georg Langs:
Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery. 309-319 - Sara García de Villa, Navid Rabbani, Nicolas Saroul, Alexandre Laville, Adrien Bartoli:
Towards Automatic Diagnosis of Paediatric Obstructive Sleep Apnoea-Hypopnoea Syndrome Using Facial Features. 320-328 - Jianfei Liu, Langston Locke, Pritam Mukherjee, Tejas Sudharshan Mathai, Yan Zhuang, Brandon Khoury, Lauren Eckhardt, Christina T. Kozycki, Ronald M. Summers:
Benchmarking MRISegmenter++ for Splenomegaly: A Comprehensive Comparative Study. 329-338 - Ayman Abaid, Gianpiero Guidone, Sara Alsubai, Foziyah Alquahtani, Talha Iqbal, Ruth Sharif, Hesham Elzomor, Emiliano Bianchini, Naeif Almagal, Michael G. Madden, Faisal Sharif, Ihsan Ullah:
3D CT-Based Coronary Calcium Assessment: A Feature-Driven Machine Learning Framework. 339-348 - Sriram Gnana Sambanthan, Monika Sharma:
MoERad: Mixture of Experts for Radiology Report Generation from Chest X-Ray Images. 349-359 - Weilin Zhou, Yuxiao Liu, Yuanwang Zhang, Kaicong Sun, Fan Li, Shilun Zhao, Yuanbo Wang, Dinggang Shen:
Tabular Data-Enhanced Multi-modal Alignment and Synthesis for Alzheimer's Disease Diagnosis. 360-369 - Degan Hao, Dooman Arefan, Jun Luo, Margarita L. Zuley, Na Du, Shandong Wu:
Bias-Resilient Feature Learning for Robust Domain Adaptation in Mammography. 370-378
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