4 citations · 6 across the 3 of their papers we have counts for
3 papers
DSTED: Decoupling Temporal Stabilization and Discriminative Enhancement for Surgical Workflow Recognition
Yueyao Chen, Kai-Ni Wang, Dario Tayupo +4
Purpose: Surgical workflow recognition enables context-aware assistance and skill assessment in computer-assisted interventions. Despite recent advances, current methods suffer fro…
Current validation practice undermines surgical AI development
Annika Reinke, Ziying O. Li, Minu D. Tizabi +98
Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains limited, with inadequate validation as an important contr…
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?
Arnaud Huaulmé, Kanako Harada, Quang-Minh Nguyen +16
This paper presents the design and results of the "PEg TRAnsfert Workflow recognition" (PETRAW) challenge whose objective was to develop surgical workflow recognition methods based…