Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition. - Tong Yu 009; Didier Mutter; Jacques Marescaux; Nicolas Padoy (CoRR, 2018)

Encode the Unseen: Predictive Video Hashing for Scalable Mid-stream Retrieval. - Tong Yu 009; Nicolas Padoy (ACCV (5), 2020)

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. - Chinedu Innocent Nwoye; Cristians Gonzalez; Tong Yu 009; Pietro Mascagni; Didier Mutter; Jacques Marescaux; Nicolas Padoy (MICCAI (3), 2020)

Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures. - Sanat Ramesh; Diego Dall'Alba; Cristians Gonzalez; Tong Yu 009; Pietro Mascagni; Didier Mutter; Jacques Marescaux; Paolo Fiorini; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2021)

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. - Martin Wagner 001; Beat Peter Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Tong Yu 009; et al. (CoRR, 2021)

Recognition and retrieval tasks in large quasi-unannotated surgical video databases. (Reconnaissance et fouille dans une grande base de vidéos endoscopiques quasi-non annotée). - Tong Yu 009 (2021)

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. - Sanat Ramesh; Vinkle Srivastav; Deepak Alapatt; Tong Yu 009; Aditya Murali; Luca Sestini; Chinedu Innocent Nwoye; Idris Hamoud; Antoine Fleurentin; Georgios Exarchakis; Alexandros Karargyris; Nicolas Padoy (CoRR, 2022)

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos. - Chinedu Innocent Nwoye; Tong Yu 009; Cristians Gonzalez; Barbara Seeliger; Pietro Mascagni; Didier Mutter; Jacques Marescaux; Nicolas Padoy (Medical Image Anal., 2022)

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures. - Kun Yuan 004; Vinkle Srivastav; Tong Yu 009; Joël L. Lavanchy; Pietro Mascagni; Nassir Navab; Nicolas Padoy (CoRR, 2023)

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. - Chinedu Innocent Nwoye; Deepak Alapatt; Tong Yu 009; Armine Vardazaryan; Fangfang Xia; Zixuan Zhao; Tong Xia; Fucang Jia; Yuxuan Yang; Hao Wang 081; Derong Yu; Guoyan Zheng; et al. (Medical Image Anal., 2023)

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. - Martin Wagner 001; Beat P. Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Carissa Reid; et al. (Medical Image Anal., 2023)

Dissecting self-supervised learning methods for surgical computer vision. - Sanat Ramesh; Vinkle Srivastav; Deepak Alapatt; Tong Yu 009; Aditya Murali; Luca Sestini; Chinedu Innocent Nwoye; Idris Hamoud; Saurav Sharma; Antoine Fleurentin; Georgios Exarchakis; Alexandros Karargyris; et al. (Medical Image Anal., 2023)

Live laparoscopic video retrieval with compressed uncertainty. - Tong Yu 009; Pietro Mascagni; Juan Verde; Jacques Marescaux; Didier Mutter; Nicolas Padoy (Medical Image Anal., 2023)

TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos. - Sanat Ramesh; Diego Dall'Alba; Cristians Gonzalez; Tong Yu 009; Pietro Mascagni; Didier Mutter; Jacques Marescaux; Paolo Fiorini; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2023)

Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition. - Sanat Ramesh; Diego Dall'Alba; Cristians Gonzalez; Tong Yu 009; Pietro Mascagni; Didier Mutter; Jacques Marescaux; Paolo Fiorini; Nicolas Padoy (IEEE Trans. Medical Imaging, 2023)

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. - Chinedu Innocent Nwoye; Tong Yu 009; Saurav Sharma; Aditya Murali; Deepak Alapatt; Armine Vardazaryan; Kun Yuan 004; Jonas Hajek; Wolfgang Reiter; Amine Yamlahi; Finn-Henri Smidt; Xiaoyang Zou; et al. (Medical Image Anal., 2023)

Learning multi-modal representations by watching hundreds of surgical video lectures. - Kun Yuan 004; Vinkle Srivastav; Tong Yu 009; Joël L. Lavanchy; Jacques Marescaux; Pietro Mascagni; Nassir Navab; Nicolas Padoy (Medical Image Anal., 2025)