Final Program

Sept. 27, 2025, 8.00am-12.05pm

8.00-8.10 – Opening remarks

8.10-9.00 - Keynote Talk: Dr. Ron Summers, NIH

9:00-10:00 Oral Session 1: Multimodal analysis and fusion:

1. Multi-View and Multimodal Radiological Grading Using Spinal MRIs

Robin Y. Park, Rhydian Windsor, Amir Jamaludin, Andrew Zisserman

2. MRI-Supervised Ultra-Low Dose CT for 3D Liver Fat Fraction Mapping

Lilach Arbel Issaschar, Lawrence Carl, Nahum Kiryati, Michael Green, Edith Michelle Marom, Arnaldo Mayer

3. Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer

Daniël Boeke, Cedrik Blommestijn, Rebecca Wray, Kalina Chupetlovska, Shangqi Gao, Zeyu Gao, Regina Beets-Tan, Mireia Crispin-Ortuzar, James Jones, Wilson Silva, Ines Prata Machado

4. Expert-Driven Contextual Fusion of Multisequence MRI and Heterogeneous Clinical Data for Pancreatic Cancer Prognostic Prediction

Bolun Zeng, Haitao Sun, Xiaojun Chen

10-10.30am - Coffee Break

10.30-11.30am -  Oral Session 2: Multimodal models for decision support

5. X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning

Jianzhong You, Yuan Gao, Sangwook Kim, Chris Mcintosh

6.     No Modality Left Behind: Dynamic Model Generation for Incomplete Medical Data

Christoph Fürböck, Paul Weiser, Branko Mitic, Philipp Seeböck, Thomas Helbich, Georg Langs

7. From Pixels to Graphs: SAM-KG for Tumor Segmentation and Knowledge Graphs

Saeed al Alqarni, Suraj Kumar Sood, Syed Jawad Hussain Shah, Chi Lee, John Park, Chul Soo Ha, John Kang, Yugyung Lee

8. Multimodal Hypergraph Learning with Self-Attention for Early Alzheimer's Diagnosis and Risk Factor Identification

Liu Yi, Wenzheng Hu, Ao Zhang, Tengda Zhang, Gege Cai, Peng Yang, Tianfu Wang, Baiying Lei

10:00-10.30am - Poster session (Oral papers can also present a poster. This will be concurrent with the Coffee Break in the same area)

1. MOSAIK: Microclip-Guided TEMS-VQA and Mosaic Integrated Scene Fusion for Surgical VLMs

Umair Nawaz, Ufaq Khan, Shazad Ashraf, Massimo Caputo, Hunaid Ahmed Vohra, Mahmood Alam, Muhammad Bilal, Junaid Qadir, Mohammad Yaqub

2. Imaging Biomarkers for Neurodegenerative Diseases from Detailed Segmentation of Medial Temporal Lobe Subregions on in vivo Brain MRI Using Upsampling Strategy Guided by High-resolution ex vivo MRI

Yue Li, Pulkit Khandelwal, Long Xie, Laura E. M. Wisse, Amanda E. Denning, Christopher A. Brown, Emily McGrew, Sydney Anne Lim, Niyousha Sadeghpour, Sadhana Ravikumar, Ranjit Ittyerah, Eunice Chung, Daniel T. Ohm, Nidhi Mundada, María Mercedes Íñiguez de Onzoño Martín, María del Mar Arroyo Jiménez, Monica Mũnoz, Maria del Pilar Marcos Rabal, David J Irwin, Edward B. Lee, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich

3. Leveraging generic foundation models for multimodal surgical data analysis

Simon Pezold, Jérôme Kurylec, Jan S. Liechti, Beat P. Müller-Stich, Joël L. Lavanchy

4. Modality-agnostic input channels enable segmentation of brain lesions in multi-modal MRI with sequences unavailable during training

Anthony P. Addison, Felix Wagner, Wentian Xu, Natalie Voets, Konstantinos Kamnitsas

5. Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification

Yuli Wang, Hyewon Jung, Dongshen Peng, Yuwei Dai, jing wu, Haoyue Guan, Yoko Kato, Zhicheng Jiao, Yu Sun, Ihab Kamel, Joao Lima, Cheng Ting Lin, Harrison Bai

11.30-12:00 - Panel Discussion: Clinical decision support in the Gen AI era

12:00-12:05 – Wrap-up