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Medizintechnik

Automated multimodel segmentation and tracking for AR-guided open liver surgery using scene-aware self-prompting

Autoren

Serouj Khajarian
Serouj.Khajarian@haw-landshut.de
Michael Schwimmbeck
Michael.Schwimmbeck@haw-landshut.de
Konstantin Holzapfel
Johannes Schmidt
Prof. Dr. Christopher Auer
Christopher.Auer@haw-landshut.de
Prof. Dr. Stefanie Remmele
Stefanie.Remmele@haw-landshut.de
Prof. Dr. Oliver Amft

Medien

International Journal of Computer Assisted Radiology and Surgery

Veröffentlichungsjahr

2025

Herausgeber

Springer Nature

Veröffentlichungsart

Zeitschriften-/Journalbeitrag (peer-reviewed)

DOI

https://doi.org/10.1007/s11548-025-03381-6

Zitierung

Khajarian, Serouj; Schwimmbeck, Michael; Holzapfel, Konstantin; Schmidt, Johannes; Auer, Christopher; Remmele, Stefanie; Amft, Oliver (2025): Automated multimodel segmentation and tracking for AR-guided open liver surgery using scene-aware self-prompting. International Journal of Computer Assisted Radiology and Surgery. DOI: 10.1007/s11548-025-03381-6

Peer Reviewed

Ja

Medizintechnik

Automated multimodel segmentation and tracking for AR-guided open liver surgery using scene-aware self-prompting