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ORCIDAgentic AI/CREATE/Clinical MLLMs@MICCAI 2025: Daejeon, South Korea
- Jianing Qiu
, Jinlin Wu, Curtis Langlotz, Baoru Huang, Zhen Lei, Honghan Wu, Hongbin Liu, Weidi Xie:
AI for Clinical Applications - First International Workshops, Agentic AI 2025, CREATE 2025, and Clinical MLLMs 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and 27, 2025, Proceedings. Lecture Notes in Computer Science 16147, Springer 2026, ISBN 978-3-032-06003-7
The MICCAI Workshop on Agentic AI 2025
- Shashwath Punneshetty, Dhyey Italiya, Vinti Agarwal, Chandresh Maurya, Amit Agrawal:
An Explainable Multimodal Framework with LLM Agents for Intracranial Hemorrhage Detection. 3-12 - Huixin Zhan, Jason H. Moore:
Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework. 13-22 - Wenlong Hou, Guangqian Yang, Ye Du, Yeung Lau, Lihao Liu, Junjun He, Ling Long, Shujun Wang:
ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator. 23-32 - Shrish Shrinath Vaidya, Gowthamaan Palani, Sidharth Ramesh, Velmurugan Balasubramanian, Minmini Selvam, Gokulraja Srinivasaraja, Ganapathy Krishnamurthi:
MedPAO: A Protocol-Driven Agent for Structuring Medical Reports. 33-45 - Xingjian Kang, Linda Vorberg, Andreas K. Maier, Alexander Katzmann, Oliver Taubmann:
Scan-Do Attitude: Towards Autonomous CT Protocol Management Using a Large Language Model Agent. 46-54 - Mukhlis Raza, Saied Salem, Afnan Habib, Osamah Abdulmahmod, Hyunwook Kwon, Jamil Hussain, Mugahed A. Al-antari:
MedXpert-CAD: A Multimodal Multi-agentic System for Clinical Imaging Analysis via Model Context Protocol LLM-Driven Agentic Workflows. 55-64 - William Kingston Xie, Donghyun Lim, Seungwoo Schin:
Agentic Hypergraph Search for Ontology-Grounded Medical Reasoning. 65-73 - Beatriz Garcia Santa Cruz, Carlos Vega, Philip Santangelo, Venkata P. Satagopam:
Beyond Engagement: A Multidimensional Framework to Evaluate the Safe Development of Agentic AI in Mental Health. 74-84 - Hania Aslam, Gousia K. Malak, Max Renault, Rajat M. Thomas:
LIFE-CRAFT: A Multi-agentic Conversational RAG Framework for Lifestyle Medicine Coaching with Context Traceability and Case-Based Evidence Synthesis. 85-94 - Trevor J. Brokowski, John Onofrey, Annie Hartley:
Harmony. 95-104 - Nima Fathi, Amar Kumar, Tal Arbel:
AURA: A Multi-modal Medical Agent for Understanding, Reasoning and Annotation. 105-114 - Jinghao Feng, Qiaoyu Zheng, Chaoyi Wu, Ziheng Zhao, Ya Zhang, Yanfeng Wang, Weidi Xie:
M3Builder: A Multi-agent System for Automated Machine Learning in Medical Imaging. 115-124
The Clinical-Driven Robotics and Embodied AI Technology (CREATE 2025)
- Qingyao Tian, Huai Liao, Xinyan Huang, Bingyu Yang, Hongbin Liu:
Harnessing Foundation Models for Robust and Generalizable 6-DOF Bronchoscopy Localization. 127-135 - Duy Ho, Ahmed Alanazi, Saeed Alqarni, Chi Lee, Gary Sutkin, Yugyung Lee:
Embodied Surgical Intelligence via Digital Twins: Autonomous Trocar Insertion. 136-145 - Zhinuo Zhou, Jiuan Chen, Guanglin Cao, Xue Li, Mingyang Zhao, Gaofeng Meng:
Neural Ultrasound Shape Reconstruction via Gated Fusion and Sampson Distance. 146-155 - Julien Quarez, Marc Modat, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados:
ReCAP: Recursive Cross Attention Network for Pseudo-label Generation in Robotic Surgical Skill Assessment. 156-166 - Chaohui Gong, Zhiying Wu, Zisheng Huang, Gaofeng Meng, Zhen Lei, Hongbin Liu:
MM2CT: MR-to-CT Translation for Multi-modal Image Fusion with Mamba. 167-176 - Boyi Ma, Yanguang Zhao, Jie Wang, Guankun Wang, Kun Yuan, Tong Chen, Long Bai, Hongliang Ren:
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery. 177-186 - Zhenyu Wu, Shiyu Chen, Zichao Li, Junkai Huang, Kang Chen, Zhen Qiao, Ming Li, Tengfei Shi, Xuehao Wang:
Anti-forgetting Test-Time Adaptation for Robust Medical Image Analysis Under Distribution Shift. 187-196 - Soo Yong Kim, Seunghyeok Hong:
Enhancing 3D Medical Vision-Language Models with Slice-Wise Visual Prompt. 197-205 - Jaehoon Go, Junyeong Kim:
Application of CoTNet-50 in the Classification of Alzheimer's Disease. 206-214 - Yousef Yeganeh, Nassir Navab, Azade Farshad:
MoViS: Motion-guided Video Generation for Laparoscopic Surgery. 215-225
The First Workshop on Multimodal Language Models (MLLMs 2025)
- Yosuke Yamagishi, Shouhei Hanaoka, Yuta Nakamura, Tomohiro Kikuchi, Akinobu Shimizu, Takeharu Yoshikawa, Osamu Abe:
RadFig-VQA: A Multi-imaging-Modality Radiology Benchmark for Evaluating Vision-Language Models in Clinical Practice. 229-238 - Florence X. Doo, Huiwen Han, Bradley A. Maron, Heng Huang:
Trustworthy Clinical Thinking in MLLMs: Hierarchical Energy-based Reasoning for interpretable MEdical Scans (HERMES). 239-248 - Zhe Zhang, Daisong Gan, Zhaochi Wen, Dong Liang:
MedDual: A Practical Dual-Decoding Framework for Mitigating Hallucinations in Medical Vision-Language Models. 249-258 - Tom van Sonsbeek, Arnaud A. A. Setio, Jung Oh Lee, Junwoo Cho, Junha Kim, Hyeonsoo Lee, Gunhee Nam, Laurent Dillard, Taesoo Kim:
Beyond One Size Fits All: Customization of Radiology Report Generation Methods. 259-268 - Shih-Ting Cindy Huang, Clarence Boon Liang Ng, Marek Rei:
Predictive Multimodal Modeling of Diagnoses and Treatments in EHR. 269-279 - Zhaolong Wu, Pu Luo, Jason Pui Yin Cheung, Teng Zhang:
Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-management: A Divide and Conquer Framework. 280-289 - Yiming Shi, Shaoshuai Yang, Xun Zhu, Haoyu Wang, Xiangling Fu, Miao Li, Ji Wu:
MedM-VL: What Makes a Good Medical LVLM? 290-299 - Junyu Liu, Lawrence KQ Yan, Tianyang Wang, Qian Niu, Momoko Nagai-Tanima, Tomoki Aoyama:
KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations. 300-309 - Jin Kim, Matthew S. Brown, Dan Ruan:
DuEL-Med: A Dual-Path Enhanced Language Model for Clinically-Aware Radiology Report Generation. 310-319 - David S. Restrepo, Sofia Ira Ktena, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Ferrante:
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI. 320-330 - Junyong Lee, Jeihee Cho, Jiwon Ryu, Shiho Kim:
Aligning Multimodal Large Language Models with Patient-Physician Dialogues for AI-Assisted Clinical Support. 331-340
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