activity
20222026
most citedPEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition?

4 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2026

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

Yang Zhou, Chaoyong Zhang, Ruoyi Hao +3

Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining patient airway patency. Machine-assisted NTI has emerged as a pivotal approach for o…

cs.CV2026

Generalized Recognition of Basic Surgical Actions Enables Skill Assessment and Vision-Language-Model-based Surgical Planning

Mengya Xu, Daiyun Shen, Jie Zhang +19

Artificial intelligence, imaging, and large language models have the potential to transform surgical practice, training, and automation. Understanding and modeling of basic surgica…

cs.CV2026

Real-Time Glottis Detection Framework via Spatial-decoupled Feature Learning for Nasal Transnasal Intubation

Jinyu Liu, Gaoyang Zhang, Yang Zhou +3

Nasotracheal intubation (NTI) is a vital procedure in emergency airway management, where rapid and accurate glottis detection is essential to ensure patient safety. However, existi…

q-bio.OT2025★ 1 cited

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…

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…

cs.LG2022★ 4 cited

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…