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Konica Minolta (Japan)

Japan

1 paper here4 citations across 1
fields
  • cs.CV1
ROR 05dtvab05OpenAlex

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most citedComparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

4 citations

researchers with a paper here
  • A. Moreno1 · h 1
  • An Wang1 · h 3
  • Atsushi Kouno1 · h 2
  • A. Yamlahi1 · h 8
  • Christoph Palm1 · h 1
  • Danail Stoyanov1 · h 5
  • Daniel Rueckert1 · h 4
  • Dirk Wilhelm1 · h 5
  • D. Rauber1 · h 11
  • D. W. Nunes1 · h 2
  • Enki Cho1 · h 2
  • Gonçalo Arantes1 · h 1
collaborating institutions
  • Artificial Intelligence in Medicine (Canada)CA1 paper
  • Centre for Tactile Internet with Human-in-the-LoopDE1 paper
  • Chinese University of Hong KongHK1 paper
  • Eindhoven University of TechnologyNL1 paper
  • German Cancer Research CenterDE1 paper
  • Heidelberg UniversityDE1 paper
  • Hong Kong University of Science and TechnologyHK1 paper
  • Kashiwa Municipal HospitalJP1 paper
  • King's College LondonGB1 paper
  • Korea Institute of Science and TechnologyKR1 paper
  • Kyung Hee UniversityKR1 paper
  • Medtronic (United Kingdom)GB1 paper
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cs.CV2026★ 4 cited

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

Tobias Rueckert, David Rauber, Raphaela Maerkl +58

Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…

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