activity
20202023
most citedRendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos

210 citations · 360 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023

Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery

Joel L. Lavanchy, Sanat Ramesh, Diego Dall'Alba +7

Most studies on surgical activity recognition utilizing Artificial intelligence (AI) have focused mainly on recognizing one type of activity from small and mono-centric surgical vi…

cs.CV2023★ 14 cited

Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition

Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez +6

Automatic recognition of fine-grained surgical activities, called steps, is a challenging but crucial task for intelligent intra-operative computer assistance. The development of c…

eess.IV2023★ 42 cited

CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection

Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma +46

Formalizing surgical activities as triplets of the used instruments, actions performed, and target anatomies is becoming a gold standard approach for surgical activity modeling. Th…

cs.CV2022★ 78 cited

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu +59

Context-aware decision support in the operating room can foster surgical safety and efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing works…

cs.CV2021★ 210 cited

Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos

Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez +5

Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action triplet recognition stands out as the only one aiming to provide truly fine-grained and c…

cs.CV2021★ 10 cited

Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures

Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez +6

Purpose: Automatic segmentation and classification of surgical activity is crucial for providing advanced support in computer-assisted interventions and autonomous functionalities…

eess.IV2020★ 6 cited

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu +4

Recognition of surgical activity is an essential component to develop context-aware decision support for the operating room. In this work, we tackle the recognition of fine-grained…