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researcher

Mélanie Roschewitz

18 papers hereh-index 8220 citations19 works total

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

author position
  • first author6
  • middle author11
  • last author1

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG3
  • cs.AI2
  • eess.IV2

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedRisk of Bias in Chest Radiography Deep Learning Foundation Models

77 citations · 104 across the 17 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

3 papers · 2 filters

cs.CV2026

Bowel Obstruction Detection and Localization on Abdominal CT with Deep Learning

Moritz Vandenhirtz, Andrea Agostini, Dana Belde +5

Bowel obstruction is a common and potentially life-threatening gastrointestinal condition. In the face of rising diagnostic workloads, the automated diagnosis of bowel obstruction…

cs.CV2026

Counterfactual Stress Testing for Image Classification Models

Moritz Stammel, Fabio De Sousa Ribeiro, Raghav Mehta +2

Deep learning models in medical imaging often fail when deployed in new clinical environments due to distribution shifts in demographics, scanner hardware, or acquisition protocols…

cs.CV2026

Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation

Marceau Lafargue-Hauret, Raghav Mehta, Fabio De Sousa Ribeiro +2

Image segmentation relies on large annotated datasets, which are expensive and slow to produce. Silver-standard (AI-generated) labels are easier to obtain, but they risk introducin…

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