8:30 – 9:45 AM | Opening Remarks and Paper Session I
A Generic 3D Foundation Model Utilizing 2D and 3D Annotations for Classification, Localization, and Segmentation in CT Pulmonary Angiography
Authors: Nahid Ul Islam, DongAo Ma, Nathaniel R Alberti, Michael Gotway, Jianming Liang
DAVL: Amalgamating Diseases, Anatomy, and Vision-Language features for chest radiographs
Authors: Jiaxuan Pang, DongAo Ma, Ziyu Zhou, Michael Gotway, Jianming Liang
MedProbCLIP: Probabilistic Adaptation of Vision–Language Foundation Model for Reliable Radiograph–Report Retrieval
Authors: Ahmad Elallaf, Yu Zhang, Yuktha Masupalli, Jeong Yang, Young Lee, Zechun Cao, Gongbo Liang
When AI Watches the Dose: Can Vision-Language Models Perform TB Medication Adherence Assessments Like Clinicians?
Authors: Yanqiao Wang, Patrick Kaggwa, Heeya Jolly, Suchendra Bhandarkar, Juliet Sekandi, Jin Sun
9:45 – 10:15 AM | Coffee Break
10:15 – 11:10 AM | Ronald Summers, National Institutes of Health
11:10 – 12:00 PM | Debesh Jha, University of South Dakota
12:00 – 1:00 PM | Lunch Break
1:00 – 2:00 PM | Asma Ben Abacha, Microsoft Research
2:00 – 3:00 PM | Paper Session II
NEURO-GUARD: Neuro-Symbolic Generalization and Unbiased Adaptive Routing for Diagnostics - Explainable Medical AI
Authors: Midhat Urooj, Ayan Banerjee, Sandeep Gupta
Controllable Image Synthesis for Endoscopy: Leveraging Text and Spatial Guidance in Diffusion Models
Authors: Lu Xu, Anuja Vats, Marius Pedersen, Kiran Raja
ReaMIL: Reasoning- and Evidence-Aware Multiple Instance Learning for Whole-Slide Histopathology
Authors: Hyun Do Jung, Jungwon Choi, Hwiyoung Kim
3:00 – 3:30 PM | Coffee Break
3:30 – 4:15 PM | Amin Beheshti, Macquarie University, Australia
4:15 – 5:00 PM | Panel Discussion and Closing
All times are given in Arizona local time.