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ORCIDMedAGI@MICCAI 2025: Daejeon, South Korea
- Won-Ki Jeong
, Hyunwoo J. Kim, Zhongying Deng, Yiqing Shen, Angelica I. Avilés-Rivero, Shaoting Zhang:
Foundation Models for General Medical AI - Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings. Lecture Notes in Computer Science 16112, Springer 2026, ISBN 978-3-032-07844-5 - Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
[inline-graphic not available: see fulltext] Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs. 1-11 - Zhu Chen, Mert Edgü, Er Jin, Johannes Stegmaier:
Segment Anything for Cell Tracking. 12-22 - Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang:
BioVFM-21M: Benchmarking and Scaling Self-supervised Vision Foundation Models for Biomedical Image Analysis. 23-33 - Hyun Yang, Sumin Jung, Jin Tae Kwak:
From Pathology to Radiology: Evaluating the Applicability of Pathology Foundation Models. 34-43 - Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park, Taebum Lee, Chang Ho Ahn, Sérgio Pereira:
Pathology Foundation Models Are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss. 44-53 - Yusuke Kikuchi, Matthew McLeod, Eric Gros, Maxime Usdin, Ali Boushehri, Julia Cluceru, Yaniv Cohen, Yvonna Li, Qi Yang:
Improved Training Sample Efficiency and Inter-device Generalizability in Optical Coherence Tomography Fluid Segmentation via Foundation Models. 54-64 - Chunlei Li, Yilei Shi, Haoxi Hu, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou:
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution. 65-75 - Minhui Tan, Qingxia Wu, Boyang Zhang, Genqiang Ren, Jianlong Nie, Zhong Xue, Xiaohuan Cao, Dinggang Shen:
RadiSimCLIP: A Radiology Vision-Language Model Pretrained on Simulated Radiologist Learning Dataset for Zero-Shot Medical Image Understanding. 76-86 - Amin Dada, Amanda Butler Contreras, Constantin Seibold, Osman Alperen Koras, Julius Keyl, Aokun Chen, Cheng Peng, Alexander Brehmer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jens Kleesiek:
Improving Medical Visual Instruction Tuning with Labeled Datasets. 87-97 - Seohyun Lee, Suhyun Choe, Jaeha Choi, Jin Won Lee:
DR.SIMON: Domain-Wise Rewrite for Segment-Informed Medical Oversight Network. 98-108 - Salah Ghamizi, Georgia Kanli, Magali Perquin, Olivier Keunen:
The Data Behind the Model: Gaps and Opportunities for Foundation Models in Brain Imaging. 109-119 - Athira J. Jacob, Puneet Sharma, Daniel Rueckert:
LGE Scar Quantification Using Foundation Models for Cardiac Disease Classification. 120-129 - Chaima Ben Rabah, Ahmed Serag:
Beyond Broad Applications: Can Pathology Foundation Models Adapt to Hematopathology? 130-139 - Lalithkumar Seenivasan, Joanna Cheng, Jin Fang, Jin Bai, Roger D. Soberanis-Mukul, Jan Emily Mangulabnan, S. Swaroop Vedula, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
EndoTracker: Robustly Tracking Any Point in Endoscopic Surgical Scene. 140-149 - Yiqing Shen, Chenjia Li, Chenxiao Fan, Mathias Unberath:
Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction. 150-158 - Dongao Ma, Jiaxuan Pang, Ziyu Zhou, Michael B. Gotway, Jianming Liang:
Cross-Modal Knowledge Distillation for Chest Radiographic Diagnosis via Embedding Expansion, Reconstruction, and Classification. 159-170 - Valentin Samokhin, Boris Shirokikh, Mikhail Goncharov, Dmitriy Umerenkov, Maksim Bobrin, Ivan V. Oseledets, Dmitry V. Dylov, Mikhail Belyaev:
Random Direct Preference Optimization for Radiography Report Generation. 171-180 - Fereshteh Shakeri, Ghassen Baklouti, Julio Silva-Rodríguez, Maxime Zanella, Houda Bahig, Jose Dolz, Ismail Ben Ayed:
Test-Time Adaptation of Medical Vision-Language Models. 181-191 - Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu:
MaskedCLIP: Bridging the Masked and CLIP Space for Semi-supervised Medical Vision-Language Pre-training. 192-202
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