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Marco Nittscher

1 paper hereh-index 15 citations1 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedSVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2023★ 1 cited

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

Marco Nittscher, Michael Lameter, Riccardo Barbano +3

The deep image prior (DIP) is a well-established unsupervised deep learning method for image reconstruction; yet it is far from being flawless. The DIP overfits to noise if not ear…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.