Video-based multi-target multi-camera tracking for postoperative phase recognition

As our approach shows promising results, it lays the foundation for real-time surgeon support, enhancing clinical documentation and ultimately improving patient care.

Authors

Institutions

Publication Details

Journal
International Journal of Computer Assisted Radiology and Surgery
Published
2025-04-12
DOI
https://doi.org/10.1007/s11548-025-03344-x
Citations
1
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
2.01

Funders

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article

Video-based multi-target multi-camera tracking for postoperative phase recognition

Dirk Wilhelm, Alissa Jell, L Wagner, Sven Kolb et al.
1 citations
International Journal of Computer Assisted Radiology and Surgery
Surgical Simulation and Training
2.01
article

Video-based multi-target multi-camera tracking for postoperative phase recognition

Dirk Wilhelm, Alissa Jell, L Wagner, Sven Kolb, Ege Özsoy, Franziska Jurosch, Janik Zeller
article en
1 citations

Abstract

As our approach shows promising results, it lays the foundation for real-time surgeon support, enhancing clinical documentation and ultimately improving patient care.

International Journal of Computer Assisted Radiology and SurgeryVol. 20(6)
Technical University of Munich (DE)
Bundesministerium für Bildung und Forschung, Bayerische Staatsministerium für Wirtschaft, Landesentwicklung und Energie
Openalex Percentile: Top 17%
Surgical Simulation and Training
2.01
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Video-based multi-target multi-camera tracking for postoperative phase recognition — Dirk Wilhelm, Alissa Jell, et al. · International Journal of Computer Assisted Radiology and Surgery (2025) | TGRS Research Map | TGRS