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Raphael Sznitman

44 papers hereh-index 354.3k citations151 works total

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

author position
  • first author2
  • middle author18
  • last author23

Across the 43 of 44 papers where every author was matched, so the position is known.

fields
  • cs.CV31
  • cs.LG4
  • astro-ph.EP3
  • astro-ph.IM2
  • eess.IV2
  • astro-ph.SR1
same name
  • Raphael Sznitman — 6 papers, h 3
  • Raphael Sznitman — 4 papers, h 4
  • Raphael Sznitman — 1 paper
  • Raphael Sznitman — 1 paper, h 3

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
20102023
most citedLearning Active Learning from Data

137 citations · 694 across the 38 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 88 cited

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

Thomas Kurmann, Pablo Marquez Neila, Xiaofei Du +4

Detection of surgical instruments plays a key role in ensuring patient safety in minimally invasive surgery. In this paper, we present a novel method for 2D vision-based recognitio…

cs.CV2017

Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks

Stefanos Apostolopoulos, Sandro De Zanet, Carlos Ciller +2

The automatic segmentation of retinal layer structures enables clinically-relevant quantification and monitoring of eye disorders over time in OCT imaging. Eyes with late-stage dis…

cs.CV2017

Expected exponential loss for gaze-based video and volume ground truth annotation

Laurent Lejeune, Mario Christoudias, Raphael Sznitman

Many recent machine learning approaches used in medical imaging are highly reliant on large amounts of image and ground truth data. In the context of object segmentation, pixel-wis…

cs.LG2017★ 137 cited

Learning Active Learning from Data

Ksenia Konyushkova, Raphael Sznitman, Pascal Fua

In this paper, we suggest a novel data-driven approach to active learning (AL). The key idea is to train a regressor that predicts the expected error reduction for a candidate samp…

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