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M. Rubeaux

Laboratoire Traitement du Signal et de l'Image

3 papers hereh-index 15962 citations42 works total

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

author position
  • middle author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV3
affiliations
  • Laboratoire Traitement du Signal et de l'Image
HomepageORCID 0009-0008-9251-5306

identity via Semantic Scholar / OpenAlex

most citedKidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge

31 citations · 39 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2021★ 1 cited

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Alessa Hering, Lasse Hansen, Tony C. W. Mok +50

Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medi…

eess.IV2021★ 7 cited

Deformable image registration with deep network priors: a study on longitudinal PET images

Constance Fourcade, Ludovic Ferrer, Noemie Moreau +10

Longitudinal image registration is challenging and has not yet benefited from major performance improvements thanks to deep-learning. Inspired by Deep Image Prior, this paper intro…

eess.IV2019★ 31 cited

Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge

Gianmarco Santini, Noémie Moreau, Mathieu Rubeaux

Precise characterization of the kidney and kidney tumor characteristics is of outmost importance in the context of kidney cancer treatment, especially for nephron sparing surgery w…

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