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Christoph Brune

Digital Society Institute

19 papers hereh-index 251.6k citations57 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author13
  • last author6

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • eess.IV7
  • cs.LG5
  • math.NA3
  • cs.CV1
  • math.OC1
  • math.ST1
affiliations
  • Digital Society Institute
  • Mathematics of Imaging & AI
  • TechMed Centre
  • Department of Applied Mathematics
  • University of Twente
HomepageORCID 0000-0003-0145-5069
same name
  • Christoph Brune — 13 papers, h 4
  • Christoph Brune — 8 papers, h 3
  • Christoph Brune — 5 papers, h 1
  • Christoph Brune — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedA Partially Learned Algorithm for Joint Photoacoustic Reconstruction and Segmentation

59 citations · 224 across the 17 of their papers we have counts for

collaborators
Showing 2017Show all

3 papers · 1 filter

math.NA2017★ 25 cited

A Framework for Directional and Higher-Order Reconstruction in Photoacoustic Tomography

Yoeri E. Boink, Marinus J. Lagerwerf, Wiendelt Steenbergen +3

Photoacoustic tomography is a hybrid imaging technique that combines high optical tissue contrast with high ultrasound resolution. Direct reconstruction methods such as filtered ba…

math.NA2017

Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition

Leonie Zeune, Stephan A. van Gils, Leon W. M. M. Terstappen +1

This paper focuses on multi-scale approaches for variational methods and corresponding gradient flows. Recently, for convex regularization functionals such as total variation, new…

math.ST2017

Risk Estimators for Choosing Regularization Parameters in Ill-Posed Problems - Properties and Limitations

Felix Lucka, Katharina Proksch, Christoph Brune +4

This paper discusses the properties of certain risk estimators recently proposed to choose regularization parameters in ill-posed problems. A simple approach is Stein's unbiased ri…

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