Vision-Language Modeling in 3D Medical Imaging
Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit, Ezequiel De la Rosa, Anjany Sekuboyina, Murong Xu, Chinmay Prabhakar, Christian Bluethgen, Ayse Gulnihan Simsek, Omer Faruk Durugol, Sevval Nil Esirgun, Muhammed Furkan Dasdelen, Neslihan Simsek, Gulhan Ertan Akan, Mehmet Kemal Ozdemir, Melih Akan, Chenyu Wang, Weicheng Dai, Kayhan Batmanghelich, Xiaoman Zhang, Mohammed Baharoon, Luyang Luo, Pranav Rajpurkar, Pedro R. A. S. Bassi, Yixiong Chen, Wenxuan Li, Alan Yuille, Zongwei Zhou, Hadrien Reynaud, Bernhard Kainz, Chaoyi Wu, Weidi Xie, Benjamin Hou, Zhiyong Lu, Daguang Xu, Dong Yang, Pengfei Guo, Marc Edgar, Bjoern Menze
Abstract
The VLM3D workshop brings together pioneers in vision-language modeling and 3D medical imaging to tackle the limitations of current models, which remain primitive and clinically unfit for real-world deployment. Through keynotes, discussions, and a dedicated benchmark challenge, we will explore why today’s AI struggles with the complexity of 3D data and how to advance towards robust, deployable solutions. We aim to bridge the gap between research and clinical practice by defining critical next steps for generating reliable, interpretable, and clinically useful models. Join us to help shape the future of AI-driven 3D medical imaging.
Video
Chat is not available.
Successful Page Load