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Sergio Escalera

Universitat de Barcelona

61 papers hereh-index 7316.5k citations433 works total

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

author position
  • first author2
  • middle author36
  • last author19

Across the 57 of 61 papers where every author was matched, so the position is known.

fields
  • cs.CV53
  • eess.IV3
  • cs.CY1
  • cs.GR1
  • cs.HC1
  • cs.LG1
affiliations
  • Universitat de Barcelona
  • Computer Vision Center
  • ChaLearn
  • Aalborg University
Homepage
same name
  • Sergio Escalera — 19 papers, h 7
  • Sergio Escalera — 9 papers, h 8
  • Sergio Escalera — 8 papers, h 5
  • Sergio Escalera — 7 papers, h 12
  • Sergio Escalera — 6 papers, h 4
  • Sergio Escalera — 5 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedSoccerNet 2022 Challenges Results

37 citations · 166 across the 30 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2022★ 10 cited

MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images

Lei Li, Fuping Wu, Sihan Wang +29

Assessment of myocardial viability is essential in diagnosis and treatment management of patients suffering from myocardial infarction, and classification of pathology on myocardiu…

eess.IV2020

Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation

Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy +1

Medical image segmentation has been very challenging due to the large variation of anatomy across different cases. Recent advances in deep learning frameworks have exhibited faster…

eess.IV2019

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy +1

In recent years, deep learning-based networks have achieved state-of-the-art performance in medical image segmentation. Among the existing networks, U-Net has been successfully app…

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