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20212025
most citedSAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

11 citations · 11 across the 3 of their papers we have counts for

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cs.CV2025

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…

cs.CV2024

MuST: Multi-Scale Transformers for Surgical Phase Recognition

Alejandra Pérez, Santiago Rodríguez, Nicolás Ayobi +3

Phase recognition in surgical videos is crucial for enhancing computer-aided surgical systems as it enables automated understanding of sequential procedural stages. Existing method…

cs.CV202411 cited

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Dimitrios Psychogyios, Emanuele Colleoni, Beatrice Van Amsterdam +47

Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to de…

cs.CV2024

Pixel-Wise Recognition for Holistic Surgical Scene Understanding

Nicolás Ayobi, Santiago Rodríguez, Alejandra Pérez +8

This paper presents the Holistic and Multi-Granular Surgical Scene Understanding of Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene understanding as…

cs.CV2021

Panoptic Narrative Grounding

C. González, N. Ayobi, I. Hernández +3

This paper proposes Panoptic Narrative Grounding, a spatially fine and general formulation of the natural language visual grounding problem. We establish an experimental framework…