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)

Automatic task recognition in a flexible endoscopy benchtop trainer with semi-supervised learning. - Valentin Bencteux; Guinther Saibro; Eran Shlomovitz; Pietro Mascagni; Silvana Perretta; Alexandre Hostettler; Jacques Marescaux; Toby Collins (Int. J. Comput. Assist. Radiol. Surg., 2020)

Artificial Intelligence in Surgery: Neural Networks and Deep Learning. - Deepak Alapatt; Pietro Mascagni; Vinkle Srivastav; Nicolas Padoy (CoRR, 2020)

Surgical Data Science - from Concepts to Clinical Translation. - Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park 001; et al. (CoRR, 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)

Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety. - Pietro Mascagni; Deepak Alapatt; Alain Garcia; Nariaki Okamoto; Armine Vardazaryan; Guido Costamagna; Bernard Dallemagne; Nicolas Padoy (CoRR, 2021)

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Srini Bala; Daniel J. Beutel; Victor Bittorf; Akshay Chaudhari; Alexander Chowdhury; Cody Coleman; Bala Desinghu; et al. (CoRR, 2021)

Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation. - Deepak Alapatt; Pietro Mascagni; Armine Vardazaryan; Alain Garcia; Nariaki Okamoto; Didier Mutter; Jacques Marescaux; Guido Costamagna; Bernard Dallemagne; Nicolas Padoy (CoRR, 2021)

Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases. - Hasan Kassem; Deepak Alapatt; Pietro Mascagni; AI4SafeChole Consortium; Alexandros Karargyris; Nicolas Padoy (CoRR, 2022)

Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation. - Pietro Mascagni; Deepak Alapatt; Alfonso Lapergola; Armine Vardazaryan; Jean-Paul Mazellier; Bernard Dallemagne; Didier Mutter; Nicolas Padoy (CoRR, 2022)

Surgical data science - from concepts toward clinical translation. - Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park 001; et al. (Medical Image Anal., 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)

A Delphi consensus statement for digital surgery. - Kyle Lam; Michael D. Abràmoff; José M. Balibrea; Steven M. Bishop; Richard R. Brady; Rachael Callcut; Manish Chand; Justin Collins; Markus K. Diener; Matthias Eisenmann; Kelly Fermont; Manoel Galvao Neto; et al. (npj Digit. Medicine, 2022)

Computer vision in surgery: from potential to clinical value. - Pietro Mascagni; Deepak Alapatt; Luca Sestini; Maria S. Altieri; Amin Madani; Yusuke Watanabe; Adnan Alseidi; Jay A. Redan; Sergio Alfieri; Guido Costamagna; Ivo Boskoski; Nicolas Padoy; et al. (npj Digit. Medicine, 2022)

Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning. - Aditya Murali; Deepak Alapatt; Pietro Mascagni; Armine Vardazaryan; Alain Garcia; Nariaki Okamoto; Didier Mutter; Nicolas Padoy (MICCAI (9), 2023)

Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos. - Joël L. Lavanchy; Armine Vardazaryan; Pietro Mascagni; AI4SafeChole Consortium; Didier Mutter; Nicolas Padoy (CoRR, 2023)

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)

Jumpstarting Surgical Computer Vision. - Deepak Alapatt; Aditya Murali; Vinkle Srivastav; Pietro Mascagni; AI4SafeChole Consortium; Nicolas Padoy (CoRR, 2023)

MOSaiC: a Web-based Platform for Collaborative Medical Video Assessment and Annotation. - Jean-Paul Mazellier; Antoine Boujon; Méline Bour-Lang; Maël Erharhd; Julien Waechter; Emilie Wernert; Pietro Mascagni; Nicolas Padoy (CoRR, 2023)

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark. - Aditya Murali; Deepak Alapatt; Pietro Mascagni; Armine Vardazaryan; Alain Garcia; Nariaki Okamoto; Guido Costamagna; Didier Mutter; Jacques Marescaux; Bernard Dallemagne; Nicolas Padoy (CoRR, 2023)

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases. - Hasan Kassem; Deepak Alapatt; Pietro Mascagni; Alexandros Karargyris; Nicolas Padoy (IEEE Trans. Medical Imaging, 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)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 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)

Avatar Surgeon, Digital Pathology and Telementoring: SICE New Technology and Training Research Group Experience. - Michele Ammendola; Giuseppe Massimiliano De Luca; Francesca Vescio; Nicola de'Angelis; Valeria Zuccalà; Andrea Balla; Umberto Bracale; Ludovica Guerriero; Giovanni Laracca; Vinicio Mosca; Domenico Spoletini; Monica Ortenzi; et al. (XR (2), 2024)

Jumpstarting Surgical Computer Vision. - Deepak Alapatt; Aditya Murali; Vinkle Srivastav; Pietro Mascagni; Nicolas Padoy (MICCAI (6), 2024)

Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer. - Siddhant Satyanaik; Aditya Murali; Deepak Alapatt; Xin Wang; Pietro Mascagni; Nicolas Padoy (CoRR, 2024)

CycleSAM: One-Shot Surgical Scene Segmentation using Cycle-Consistent Feature Matching to Prompt SAM. - Aditya Murali; Pietro Mascagni; Didier Mutter; Nicolas Padoy (CoRR, 2024)

Latent Graph Representations for Critical View of Safety Assessment. - Aditya Murali; Deepak Alapatt; Pietro Mascagni; Armine Vardazaryan; Alain Garcia; Nariaki Okamoto; Didier Mutter; Nicolas Padoy (IEEE Trans. Medical Imaging, 2024)

Optimizing latent graph representations of surgical scenes for unseen domain generalization. - Siddhant Satyanaik; Aditya Murali; Deepak Alapatt; Xin Wang; Pietro Mascagni; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2024)

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)

Surgical text-to-image generation. - Chinedu Innocent Nwoye; Rupak Bose; Kareem Elgohary; Lorenzo Arboit; Giorgio Carlino; Joël L. Lavanchy; Pietro Mascagni; Nicolas Padoy (Pattern Recognit. Lett., 2025)

Early operative difficulty assessment in laparoscopic cholecystectomy via snapshot-centric video analysis. - Saurav Sharma; Maria Vannucci; Leonardo Pestana Legori; Mario Scaglia; Giovanni Guglielmo Laracca; Didier Mutter; Sergio Alfieri; Pietro Mascagni; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2025)

Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era. - Lorenzo Arboit; Dennis N. Schneider; Toby Collins; Daniel A. Hashimoto; Silvana Perretta; Bernard Dallemagne; Jacques Marescaux; EAES Working Group; Nicolas Padoy; Pietro Mascagni (CoRR, 2025)

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition. - Britty Baby; Vinkle Srivastav; Pooja P. Jain; Kun Yuan 004; Pietro Mascagni; Nicolas Padoy (CoRR, 2025)

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment. - Farahdiba Zarin; Riccardo Oliva; Vinkle Srivastav; Armine Vardazaryan; Andrea Rosati; Alice Zampolini Faustini; Giovanni Scambia; Anna Fagotti; Pietro Mascagni; Nicolas Padoy (CoRR, 2025)