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Daniel Rueckert

6 papers hereh-index 475 citations20 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV2
same name
  • Daniel Rueckert — 60 papers, h 14
  • Daniel Rueckert — 14 papers, h 10
  • Daniel Rueckert — 13 papers, h 4
  • Daniel Rueckert — 9 papers, h 4
  • Daniel Rueckert — 3 papers

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
20232026
most citedComparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

4 citations · 6 across the 6 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

3 papers · 2 filters

cs.CV2025

Neural Implicit Heart Coordinates: 3D cardiac shape reconstruction from sparse segmentations

Marica Muffoletto, Uxio Hermida, Charlène Mauger +8

Accurate reconstruction of cardiac anatomy from sparse clinical images remains a major challenge in patient-specific modeling. While neural implicit functions have previously been…

cs.CV2025★ 2 cited

Video Dataset for Surgical Phase, Keypoint, and Instrument Recognition in Laparoscopic Surgery (PhaKIR)

Tobias Rueckert, Raphaela Maerkl, David Rauber +6

Robotic- and computer-assisted minimally invasive surgery (RAMIS) is increasingly relying on computer vision methods for reliable instrument recognition and surgical workflow under…

cs.CV2025★ 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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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.