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É. Deutsch

8 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 author3
  • last author4

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • cs.CV3
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

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

17 citations · 22 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

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

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…

cs.CV2020★ 17 cited

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella +28

Chest computed tomography (CT) is widely used for the management of Coronavirus disease 2019 (COVID-19) pneumonia because of its availability and rapidity. The standard of referenc…

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