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ORCIDELAMI@MICCAI 2025: Daejeon, South Korea
- Hien Van Nguyen
, Akash Awasthi, Vishal M. Patel, T. Hoang Ngan Le, Yuyin Zhou, Sheng Liu, S. Kevin Zhou:
Emerging LLM/LMM Applications in Medical Imaging - First International Workshop, ELAMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings. Lecture Notes in Computer Science 16146, Springer 2026, ISBN 978-3-032-07501-7 - Ngoc Bui Lam Quang, Nam Le Nguyen Binh, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Quan Nguyen, Ulas Bagci:
GMAT: Grounded Multi-agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification. 1-9 - Mumu Aktar, Gunjan Jindal, Salome Lou Bosshart, Alexander Stebner, Pedro Paiva, Mariana P. Bento, Johanna Ospel, Roberto Souza:
SCOPE: Label Extraction of Stroke Diagnosis from Unstructured Medical Reports Using Retrieval-Augmented Generation. 10-18 - Amirhossein Sabour, Kailin Chu, Mehrdad Eshraghi Dehaghani, Mehdi Moradi:
Mind the Evaluation Gap: Large Language Models for Structured Data Extraction from Radiology Reports. 19-27 - Alaoui Belghiti Khaoula, Nour Eddine Zekaoui, Mounia Mikram, Maryem Rhanoui:
NeuroReport-MS: Multi-scale Agentic AI for Automated Clinical Report Generation in Multiple Sclerosis. 28-35 - Soojin Hwang, Jaeyoon Sim, Won Hwa Kim:
REMix: Refinement-Enhanced Visual-Textual Mixing for Lesion Segmentation. 36-44 - Zeinab Aliakbari Mamaghani, Linda Vorberg, Andreas K. Maier, Alexander Katzmann, Oliver Taubmann:
An LLM-Based Active Assistant and Smart Manual for CT Imaging Workflows. 45-52 - Khang C. Nguyen, Cheng Wang, Zong X. Shi, Yue Heng, Chuan Y. Qi, Masahiro Oda, Kensaku Mori:
SIGMA: Auto-Regressive VLM for Automated Radiology Report Generation from Longitudinal 3D CT Volumes. 53-61 - Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas:
Specialised or Generic? Tokenization Choices for Radiology Language Models. 62-70 - Jecia Z. Y. Mao, Francis X. Creighton, Russell H. Taylor, Manish Sahu:
SCOPE: Speech-Guided COllaborative PErception Framework for Surgical Scene Segmentation. 71-78 - Mohamed Mohamed, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel:
Imagining Alternatives: Towards High-Resolution 3D Counterfactual Medical Image Generation via Language Guidance. 79-87 - Zahra Tehraninasab, Amar Kumar, Tal Arbel:
Pixels Under Pressure: Exploring Fine-Tuning Paradigms for Foundation Models in High-Resolution Medical Imaging. 88-97 - Minh Huu Nhat Le, Uyen Khoi Minh Huynh, Hong Xuan Ong, Phat K. Huynh, Minh-Toan Dinh, Han Hong Huynh, Hien Quang Kha, Phat Ky Nguyen, Xuan-Loc Huynh, An Thuy Vo, Thanh-Minh Nguyen, Thanh-Huy Nguyen, Quan Nguyen, Nguyen Quoc Khanh Le:
DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction. 98-106 - Karthik Prathaban, Farhan Akram, Stefan Klein, Martijn P. A. Starmans:
From Reports to Relations: Large Language Models for Knowledge Graph Extraction in Digital Pathology. 107-114 - Hoda Helmy, Abdullah Hosseini, Ahmed Ibrahim, Asfand Baig-Mirza, Ahmed-Ramadan Sadek, Ahmed Serag:
3D Vision-Language Models with Segmentation-Guided Multimodal Data for Spinal MRI Report Generation. 115-122
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