Inverse problems in imaging and machine learning - Ferdia Sherry

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In this video, CCIMI student Ferdia Sherry describes some of the topics that he is interested in and how they interact: inverse problems in imaging and machine learning.
More specifically, he explains how bilevel optimisation problems pop up when learning parts of a variational model and how this approach is used to learn a sampling pattern for MRI.
Ferdia is supervised by Dr Carola-Bibiane Schönlieb and Dr Matthias J. Ehrhardt.
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Could you please provide links to your work? I'm from the field of Corrosion Science and would like to learn more on inverse problems to understand the limitations of Electrical Impedance Tomography. Reference to other bibliography ( more Basic ;-) ) would also help a lot. Thanks.

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