ISMRM 2020, Joint MICCAI-ISMRM Session - Lessons from other modalities
Channel: Andreas Maier
Date: 09/08/2020

In this presentation, we will look into machine learning-based reconstruction and observations made on other imaging modalities than MR. In particular, we can sub-divide reconstruction methods into purely data-driven, analytically inspired, and optimization-inspired. We find that also from a theoretical point of view, the embedding of domain knowledge is beneficial. During the presentation, we will discuss further the benefits and risks of these common approaches. In the end, we will give an outlook on future perspectives and potential enablers in the field.

Joint MICCAI-ISMRM Session, ISMRM 2020
https://www.ismrm.org/20/program_files/WE13.htm

A gentle introduction to Deep Learning in Medical Image Processing
https://www.sciencedirect.com/science/article/pii/S093938891830120X

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