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researcher

T. Estienne

5 papers hereh-index 131.1k citations33 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV2
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

most citedCancer Gene Profiling through Unsupervised Discovery

3 citations · 4 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 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.CV2020

Deep learning based registration using spatial gradients and noisy segmentation labels

Théo Estienne, Maria Vakalopoulou, Enzo Battistella +6

Image registration is one of the most challenging problems in medical image analysis. In the recent years, deep learning based approaches became quite popular, providing fast and p…

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