Raphael Sznitman

University of Bern, École Polytechnique Fédérale de Lausanne, Johns Hopkins University

Papers

10

Total Citations

409

H-Index

7

About

No biography available yet.

Research Focus

Computer science10 · 409 citations
Computer vision9 · 403 citations
Artificial intelligence9 · 403 citations
Robot4 · 199 citations
Medicine7 · 198 citations
Context (archaeology)3 · 164 citations
Pattern recognition (psychology)2 · 160 citations
Machine learning2 · 154 citations
Deep learning2 · 154 citations
Graph1 · 136 citations
Convolutional neural network1 · 136 citations
Pose1 · 136 citations

Key Achievements

7
H-Index
10
Papers
409
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks
136 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 58
🏛 Institutions: University of Bern, École Polytechnique Fédérale de Lausanne, Johns Hopkins University

Top Papers

  1. 1
    Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks
    136 citations · 2018
  2. 2
    Data-Driven Visual Tracking in Retinal Microsurgery
    72 citations · 2012
  3. 3
    Robotic Retinal Surgery
    53 citations · 2019
  4. 4
    Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
    50 citations · 2018
  5. 5
    Visual Tracking of Surgical Tools for Proximity Detection in Retinal Surgery
    42 citations · 2011
  6. 6
    Mask then classify: multi-instance segmentation for surgical instruments
    24 citations · 2021
  7. 7
    Force classification during robotic interventions through simulation-trained neural networks
    18 citations · 2019
  8. 8
    GEYEDANCE: An OCT-Enhanced Multi-Modal Feedback Platform for Robot-Assisted Ophthalmic Surgery
    6 citations · 2025
  9. 9
    Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery
    5 citations · 2023
  10. 10
    A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections
    3 citations · 2018

Key Collaborators

TKThomas Kurmann3 shared papersXDXiaofei Du2 shared papersAMAndrea Mendizábal2 shared papersDSDanail Stoyanov2 shared papersMAMax Allan2 shared papersSCStéphane Cotin2 shared papersPMPablo Márquez-Neila2 shared papersGDGregory D. Hager2 shared papersTDTommaso Da Col2 shared papersRHRussell H. Taylor2 shared papersAJAlain Jungo2 shared papersSOSébastien Ourselin2 shared papersRRRogério Richa2 shared papersJJJake J. Abbott1 shared papersKFKoorosh Faridpooya1 shared papersPCPing-Lin Chang1 shared papersTVTom Vercauteren1 shared papersEVEmmanuel Vander Poorten1 shared papersPFPascal Fua1 shared papersJUJin U. Kang1 shared papers
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