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Robin Camarasa

3 papers hereh-index 6195 citations14 works total

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

author position
  • first author1
  • middle author2

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

fields
  • cs.CV2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedA Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation

14 citations · 20 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 6 cited

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021

Carole H. Sudre, Kimberlin Van Wijnen, Florian Dubost +46

Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and…

cs.CV2021★ 14 cited

A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation

Robin Camarasa, Daniel Bos, Jeroen Hendrikse +4

Uncertainty assessment has gained rapid interest in medical image analysis. A popular technique to compute epistemic uncertainty is the Monte-Carlo (MC) dropout technique. From a n…

eess.IV2021

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge

Alain Lalande, Zhihao Chen, Thibaut Pommier +30

A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whether the myocardium segment is viable after reperfusion or revascularization the…

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