Dec 15, 2021
Sıla Kurugol, Harvard Medical School)
The talk will focus on the use of medical imaging, computational and deep learning techniques for the discovery and quantification of clinically useful information from 3D and 4D medical images. The talk will describe how computational techniques or deep learning methods can be used for the reconstruction of MR images from undersampled (limited) data for accelerated MR imaging, motion-compensated imaging and robust quantitative parameter estimation and image analysis. It will also show the clinical utility of these proposed techniques for the interpretation of medical images and extraction of important clinical markers in applications such as functional imaging of kidneys and Crohn’s disease.