YETI

This software uses a learning framework (YETI) building on an auto-encoder structure between 2D and 3D image time-series, which incorporates an advection-diffusion model to capture blood perfusion. To help with identifiability, the deep learning model is trained via simulated data from an advection-diffusion simulator. Instead of directly learning the velocity and diffusion tensor fields of the advection diffusion equation, we use representations that assure incompressible flow and symmetric positive semidefinite diffusion fields.

The YETI repository is currently still private. Stay tuned.

Marc Niethammer
Marc Niethammer
Professor of Computer Science

My research interests include image registration, image segmentation, shape analysis, machine learning, and biomedical applications.