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E. Battistella

6 papers hereh-index 142.9k citations30 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 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedAI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia

17 citations · 20 across the 2 of their papers we have counts for

collaborators
Showing 2021Show 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…

eess.IV2021

Weakly supervised pan-cancer segmentation tool

Marvin Lerousseau, Marion Classe, Enzo Battistella +8

The vast majority of semantic segmentation approaches rely on pixel-level annotations that are tedious and time consuming to obtain and suffer from significant inter and intra-expe…

q-bio.GN2021★ 3 cited

Cancer Gene Profiling through Unsupervised Discovery

Enzo Battistella, Maria Vakalopoulou, Roger Sun +9

Precision medicine is a paradigm shift in healthcare relying heavily on genomics data. However, the complexity of biological interactions, the large number of genes as well as the…

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