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researcher

É. Deutsch

11 papers hereh-index 293.8k citations139 works total

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

author position
  • middle author5
  • last author5

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • eess.IV6
  • cs.CV4
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedAI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia

17 citations · 26 across the 8 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

3 papers · 2 filters

cs.CV2021★ 1 cited

MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network

Théo Estienne, Maria Vakalopoulou, Enzo Battistella +5

Deformable registration consists of finding the best dense correspondence between two different images. Many algorithms have been published, but the clinical application was made d…

cs.CV2021

Exploring Deep Registration Latent Spaces

Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis +8

Explainability of deep neural networks is one of the most challenging and interesting problems in the field. In this study, we investigate the topic focusing on the interpretabilit…

cs.CV2021★ 1 cited

SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification

Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch +1

Multiple instance learning (MIL) is the preferred approach for whole slide image classification. However, most MIL approaches do not exploit the interdependencies of tiles extracte…

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