Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery. - Luc Soler; Herve Delingette; Grégoire Malandain; Johan Montagnat; Nicholas Ayache; Jean-Marie Clement; Christophe Koehl; Olivier Dourthe; Didier Mutter; Jacques Marescaux (Image Processing, 2000)

Virtual Radiofrequency Ablation of Liver Tumors. - Caroline Villard; Luc Soler; Nicolas Papier; Vincent Agnus; Sylvain Thery; Afshin Gangi; Didier Mutter; Jacques Marescaux (IS4TH, 2003)

RF-Sim: a Treatment Planning Tool for Radiofrequency Ablation of Hepatic Tumors. - Caroline Villard; Luc Soler; Nicolas Papier; Vincent Agnus; Afshin Gangi; Didier Mutter; Jacques Marescaux (IV, 2003)

Toward realistic radiofrequency ablation of hepatic tumors 3D simulation and planning. - Caroline Villard; Luc Soler; Afshin Gangi; Didier Mutter; Jacques Marescaux (Image-Guided Procedures, 2004)

Virtual reality and augmented reality applied to laparoscopic and notes procedures. - Luc Soler; Stéphane Nicolau; Jean-Baptiste Fasquel; Vincent Agnus; Arnaud Charnoz; Alexandre Hostettler; Johan Moreau; Clement Forest; Didier Mutter; Jacques Marescaux (ISBI, 2008)

In Vivo Evaluation of a Guidance System for Computer Assisted Robotized Needle Insertion Devoted to Small Animals. - Stéphane Nicolau; Luis Mendoza-Burgos; Luc Soler; Didier Mutter; Jacques Marescaux (MIAR, 2008)

Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016. - Andru Putra Twinanda; Didier Mutter; Jacques Marescaux; Michel de Mathelin; Nicolas Padoy (CoRR, 2016)

Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016. - Andru Putra Twinanda; Didier Mutter; Jacques Marescaux; Michel de Mathelin; Nicolas Padoy (CoRR, 2016)

Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos. - Ivan Aksamentov; Andru Putra Twinanda; Didier Mutter; Jacques Marescaux; Nicolas Padoy (MICCAI (2), 2017)

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos. - Andru Putra Twinanda; Sherif Shehata; Didier Mutter; Jacques Marescaux; Michel de Mathelin; Nicolas Padoy (IEEE Trans. Medical Imaging, 2017)

Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos. - Armine Vardazaryan; Didier Mutter; Jacques Marescaux; Nicolas Padoy (CVII-STENT/LABELS@MICCAI, 2018)

Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks. - Gaurav Yengera; Didier Mutter; Jacques Marescaux; Nicolas Padoy (CoRR, 2018)

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)

Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos. - Chinedu Innocent Nwoye; Didier Mutter; Jacques Marescaux; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2019)

RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations. - Andru Putra Twinanda; Gaurav Yengera; Didier Mutter; Jacques Marescaux; Nicolas Padoy (IEEE Trans. Medical Imaging, 2019)

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)

Future-State Predicting LSTM for Early Surgery Type Recognition. - Siddharth Kannan; Gaurav Yengera; Didier Mutter; Jacques Marescaux; Nicolas Padoy (IEEE Trans. Medical Imaging, 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)

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)

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)

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)

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)

Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions. - Saurav Sharma; Chinedu Innocent Nwoye; Didier Mutter; Nicolas Padoy (MICCAI (9), 2023)

ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. - Idris Hamoud; Muhammad Abdullah Jamal; Vinkle Srivastav; Didier Mutter; Nicolas Padoy; Omid Mohareri (MIDL, 2023)

Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition. - Saurav Sharma; Chinedu Innocent Nwoye; Didier Mutter; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 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)

TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research. - William Ndzimbong; Cyril Fourniol; Loic Themyr; Nicolas Thome; Yvonne Keeza; Benoît Sauer; Pierre-Thierry Piechaud; Arnaud Mejean; Jacques Marescaux; Daniel George; Didier Mutter; Alexandre Hostettler; et al. (CoRR, 2023)

ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. - Idris Hamoud; Muhammad Abdullah Jamal; Vinkle Srivastav; Didier Mutter; Nicolas Padoy; Omid Mohareri (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)

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)

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)

Overcoming Dimensional Collapse in Self-Supervised Contrastive Learning for Medical Image Segmentation. - Jamshid Hassanpour; Vinkle Srivastav; Didier Mutter; Nicolas Padoy (ISBI, 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)

UltraSam: A Foundation Model for Ultrasound using Large Open-Access Segmentation Datasets. - Adrien Meyer; Aditya Murali; 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)

Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery. - Joël L. Lavanchy; Sanat Ramesh; Diego Dall'Alba; Cristians Gonzalez; Paolo Fiorini; Beat P. Müller-Stich; Philipp C. Nett; Jacques Marescaux; Didier Mutter; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2024)

Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes. - Keqi Chen; Vinkle Srivastav; Didier Mutter; Nicolas Padoy (CVPR, 2025)

When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room. - Keqi Chen; Lilien Schewski; Vinkle Srivastav; Joël L. Lavanchy; Didier Mutter; Guido Beldi; Sandra Keller; Nicolas Padoy (CoRR, 2025)

Multi-view Video-Pose Pretraining for Operating Room Surgical Activity Recognition. - Idris Hamoud; Vinkle Srivastav; Muhammad Abdullah Jamal; Didier Mutter; Omid Mohareri; Nicolas Padoy (CoRR, 2025)

S4M: Segment Anything with 4 Extreme Points. - Adrien Meyer; Lorenzo Arboit; Giuseppe Massimiani; Francesco Brucchi; Luca Emanuele Amodio; Didier Mutter; Nicolas Padoy (CoRR, 2025)

fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models. - Saurav Sharma; Didier Mutter; Nicolas Padoy (CoRR, 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)

When do they StOP?: A first step toward automatically identifying team communication in the operating room. - Keqi Chen; Lilien Schewski; Vinkle Srivastav; Joël L. Lavanchy; Didier Mutter; Guido Beldi; Sandra Keller; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2025)