Schedule

Format: 

Each speaker will present for 35 minutes, followed by 10 minutes for Q&A.

The final panel discussion will be attended by available speakers and moderated by an organizer.

Tentative Schedule:

08:00am-08:30am - Introduction and overview

08:30am-09:15am - Kilian Pohl

Title: Building Diffusion Models to Accelerate Discovery in Neuroscience

Abstract: While generative models of structural brain MRIs generally prioritize capturing coarse, visible effects of diseases (such as ventricular enlargement in Alzheimer’s disease), many neuroscience studies focus on detecting morphometric group differences between cohorts that are too subtle to identify visually in individuals. In this talk, we review several diffusion models designed to generate high-quality T1-weighted MRIs specifically tailored for neuroscience discovery. We present a systematic procedure for evaluating the ability of these synthetic MRIs to capture macrostructural properties of brain regions including subtle, disease-related effects. Finally, we highlight the successes and limitations of current technology in meeting critical criteria for incorporating synthetic MRIs into neuroscience research.

09:15am-10:00am - Ben Glocker

Title: Deep Structural Causal Models

Abstract: TBD

10:00am-10:30am - Break

10:30am-11:15am - Ulas Bagci

Title: TBD

Abstract: TBD

11:15am-12:00pm - Qingyu Zhao

Title: Generating and Evaluating Anatomical Plausibility in Brain Morphometry and Longitudinal Change

Abstract: Accurately characterizing and predicting changes in brain morphometry is essential for understanding normal neurodevelopment and aging, as well as deviations associated with brain disorders. In this talk, I will present recent advances in generating and evaluating the realism of brain morphometry using anatomically informed AI models. These approaches include deformation-based modeling, latent diffusion, spatiotemporal modeling, and segmentation-guided supervision to produce realistic morphometric changes from limited data while preserving topology and tissue boundaries. I will also highlight methods for rigorously assessing the anatomical plausibility of synthetic brain MRIs and their longitudinal trajectories. Together, these advances offer a pathway toward both generating realistic brain morphometry over time and rigorously validating its anatomical plausibility for research and clinical applications.

12:00pm-12:30pm - Panel discussion