Search Results for author: Michael Lameter

Found 1 papers, 1 papers with code

SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction

1 code implementation28 Mar 2023 Marco Nittscher, Michael Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass

The deep image prior (DIP) is a well-established unsupervised deep learning method for image reconstruction; yet it is far from being flawless.

Image Reconstruction

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