Messages Scheduling for Data Redistribution between Clusters. - Johanne Cohen; Emmanuel Jeannot; Nicolas Padoy (PPAM, 2003)

New CTA Protocol and 2D-3D Registration Method for Liver Catheterization. - Martin Groher; Nicolas Padoy; Tobias F. Jakobs; Nassir Navab (MICCAI (1), 2006)

Messages Scheduling for Parallel Data Redistribution between Clusters. - Johanne Cohen; Emmanuel Jeannot; Nicolas Padoy; Frédéric Wagner (IEEE Trans. Parallel Distributed Syst., 2006)

A Boosted Segmentation Method for Surgical Workflow Analysis. - Nicolas Padoy; Tobias Blum; Irfan A. Essa; Hubertus Feußner; Marie-Odile Berger; Nassir Navab (MICCAI (1), 2007)

On-line Recognition of Surgical Activity for Monitoring in the Operating Room. - Nicolas Padoy; Tobias Blum; Hubertus Feußner; Marie-Odile Berger; Nassir Navab (AAAI, 2008)

Modeling and Online Recognition of Surgical Phases Using Hidden Markov Models. - Tobias Blum; Nicolas Padoy; Hubertus Feußner; Nassir Navab (MICCAI (2), 2008)

Workflow mining for visualization and analysis of surgeries. - Tobias Blum; Nicolas Padoy; Hubertus Feußner; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2008)

Automatic feature generation in endoscopic images. - Ulrich Klank; Nicolas Padoy; Hubertus Feußner; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2008)

Wavelet energy map: A robust support for multi-modal registration of medical images. - Olivier Pauly; Nicolas Padoy; Holger Poppert; Lorena Esposito; Nassir Navab (CVPR, 2009)

Workflow monitoring based on 3D motion features. - Nicolas Padoy; Diana Mateus; Daniel Weinland; Marie-Odile Berger; Nassir Navab (ICCV Workshops, 2009)

Workflow and Activity Modeling for Monitoring Surgical Procedures. (Modélisation des Activités Chirurgicales et de leur Déroulement pour la Reconnaissance des Etapes Opératoires). - Nicolas Padoy (2010)

Human-Machine Collaborative surgery using learned models. - Nicolas Padoy; Gregory D. Hager (ICRA, 2011)

3D thread tracking for robotic assistance in tele-surgery. - Nicolas Padoy; Gregory D. Hager (IROS, 2011)

Spatio-Temporal Registration of Multiple Trajectories. - Nicolas Padoy; Gregory D. Hager (MICCAI (1), 2011)

Learned Partial Automation for Shared Control in Tele-Robotic Manipulation. - Sebastian Bodenstedt; Nicolas Padoy; Gregory D. Hager (AAAI Fall Symposium: Robots Learning Interactively from Human Teachers, 2012)

Deformable Tracking of Textured Curvilinear Objects. - Nicolas Padoy; Gregory D. Hager (BMVC, 2012)

Statistical modeling and recognition of surgical workflow. - Nicolas Padoy; Tobias Blum; Seyed-Ahmad Ahmadi; Hubertus Feußner; Marie-Odile Berger; Nassir Navab (Medical Image Anal., 2012)

Piecewise Planar Decomposition of 3D Point Clouds Obtained from Multiple Static RGB-D Cameras. - Fernando Barrera; Nicolas Padoy (3DV, 2014)

Temporally Consistent 3D Pose Estimation in the Interventional Room Using Discrete MRF Optimization over RGBD Sequences. - Abdolrahim Kadkhodamohammadi; Afshin Gangi; Michel de Mathelin; Nicolas Padoy (IPCAI, 2014)

Towards Better Laparoscopic Video Database Organization by Automatic Surgery Classification. - Andru Putra Twinanda; Jacques Marescaux; Michel de Mathelin; Nicolas Padoy (IPCAI, 2014)

3D Global Estimation and Augmented Reality Visualization of Intra-operative X-ray Dose. - Nicolas Loy Rodas; Nicolas Padoy (MICCAI (1), 2014)

Fisher Kernel Based Task Boundary Retrieval in Laparoscopic Database with Single Video Query. - Andru Putra Twinanda; Michel de Mathelin; Nicolas Padoy (MICCAI (3), 2014)

Pictorial Structures on RGB-D Images for Human Pose Estimation in the Operating Room. - Abdolrahim Kadkhodamohammadi; Afshin Gangi; Michel de Mathelin; Nicolas Padoy (MICCAI (1), 2015)

Marker-Less AR in the Hybrid Room Using Equipment Detection for Camera Relocalization. - Nicolas Loy Rodas; Fernando Barrera; Nicolas Padoy (MICCAI (1), 2015)

Seeing is believing: increasing intraoperative awareness to scattered radiation in interventional procedures by combining augmented reality, Monte Carlo simulations and wireless dosimeters. - Nicolas Loy Rodas; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2015)

Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms. - Andru Putra Twinanda; Emre O. Alkan; Afshin Gangi; Michel de Mathelin; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2015)

Erratum to: Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms. - Andru Putra Twinanda; Emre O. Alkan; Afshin Gangi; Michel de Mathelin; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2015)

Classification approach for automatic laparoscopic video database organization. - Andru Putra Twinanda; Jacques Marescaux; Michel de Mathelin; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2015)

3D Pictorial Structures on RGB-D Data for Articulated Human Detection in Operating Rooms. - Abdolrahim Kadkhodamohammadi; Afshin Gangi; Michel de Mathelin; Nicolas Padoy (CoRR, 2016)

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)

Pose optimization of a C-arm imaging device to reduce intraoperative radiation exposure of staff and patient during interventional procedures. - Nicolas Loy Rodas; Julien Bert; Dimitris Visvikis; Michel de Mathelin; Nicolas Padoy (ICRA, 2017)

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

A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms. - Abdolrahim Kadkhodamohammadi; Afshin Gangi; Michel de Mathelin; Nicolas Padoy (WACV, 2017)

Surgical Data Science: Enabling Next-Generation Surgery. - Lena Maier-Hein; S. Swaroop Vedula; Stefanie Speidel; Nassir Navab; Ron Kikinis; Adrian Park 001; Matthias Eisenmann; Hubertus Feussner; Germain Forestier; Stamatia Giannarou; Makoto Hashizume; Darko Katic; et al. (CoRR, 2017)

Articulated clinician detection using 3D pictorial structures on RGB-D data. - Abdolrahim Kadkhodamohammadi; Afshin Gangi; Michel de Mathelin; Nicolas Padoy (Medical Image Anal., 2017)

See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room. - Nicolas Loy Rodas; Fernando Barrera; Nicolas Padoy (IEEE Trans. Biomed. Eng., 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)

Surgical Data Science: A Consensus Perspective. - Lena Maier-Hein; Matthias Eisenmann; Carolin Feldmann; Hubertus Feussner; Germain Forestier; Stamatia Giannarou; Bernard Gibaud; Gregory D. Hager; Makoto Hashizume; Darko Katic; Hannes Kenngott; Ron Kikinis; et al. (CoRR, 2018)

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation. - Vinkle Srivastav; Thibaut Issenhuth; Abdolrahim Kadkhodamohammadi; Michel de Mathelin; Afshin Gangi; 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)

Self-Supervised Surgical Tool Segmentation using Kinematic Information. - Cristian da Costa Rocha; Nicolas Padoy; Benoit Rosa (ICRA, 2019)

Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. - Vinkle Srivastav; Afshin Gangi; Nicolas Padoy (MICCAI (5), 2019)

Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach. - Thibaut Issenhuth; Vinkle Srivastav; Afshin Gangi; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2019)

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)

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)

Self-supervision on Unlabelled or Data for Multi-person 2D/3D Human Pose Estimation. - Vinkle Srivastav; Afshin Gangi; Nicolas Padoy (MICCAI (1), 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)

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions. - Tom Vercauteren; Mathias Unberath; Nicolas Padoy; Nassir Navab (Proc. IEEE, 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)

A Review of Medical Federated Learning: Applications in Oncology and Cancer Research. - Alexander Chowdhury; Hasan Kassem; Nicolas Padoy; Renato Umeton; Alexandros Karargyris (BrainLes@MICCAI (1), 2021)

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)

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR. - Vinkle Srivastav; Afshin Gangi; Nicolas Padoy (CoRR, 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)

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)

2020 CATARACTS Semantic Segmentation Challenge. - Imanol Luengo; Maria Grammatikopoulou; Rahim Mohammadi; Chris Walsh; Chinedu Innocent Nwoye; Deepak Alapatt; Nicolas Padoy; Zhen-Liang Ni; Chen-Chen Fan; Gui-Bin Bian; Zeng-Guang Hou; Heonjin Ha; 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)

A generalizable approach for multi-view 3D human pose regression. - Abdolrahim Kadkhodamohammadi; Nicolas Padoy (Mach. Vis. Appl., 2021)

A Kinematic Bottleneck Approach for Pose Regression of Flexible Surgical Instruments Directly From Images. - Luca Sestini; Benoit Rosa; Elena De Momi; Giancarlo Ferrigno; Nicolas Padoy (IEEE Robotics Autom. Lett., 2021)

Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structures. - Adrien Meyer; Antoine Fleurentin; Julieta Montanelli; Jean-Paul Mazellier; Lee Swanstrom; Benoit Gallix; Georgios Exarchakis; Leonardo Sosa Valencia; Nicolas Padoy (ASMUS@MICCAI, 2022)

ClipAssistNet: bringing real-time safety feedback to operating rooms. - Florian Aspart; Jon Lindström Bolmgren; Joël L. Lavanchy; Guido Beldi; Michael S. Woods; Nicolas Padoy; Enes Hosgor (Int. J. Comput. Assist. Radiol. Surg., 2022)

Self-supervised learning via cluster distance prediction for operating room context awareness. - Idris Hamoud; Alexandros Karargyris; Aidean Sharghi; Omid Mohareri; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2022)

Organ-based estimation and minimization of clinician's X-ray dose. - Alexandre Krebs; Jean-Paul Mazellier; Juan Verde; Cindy Rolland; Julien Bert; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 2022)

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

Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets. - Chinedu Innocent Nwoye; Nicolas Padoy (CoRR, 2022)

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)

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)

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room. - Vinkle Srivastav; Afshin Gangi; Nicolas Padoy (Medical Image Anal., 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)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Trackerless Volume Reconstruction from Intraoperative Ultrasound Images. - Sidaty El Hadramy; Juan Verde; Karl-Philippe Beaudet; Nicolas Padoy; Stéphane Cotin (MICCAI (10), 2023)

Intraoperative CT Augmentation for Needle-Based Liver Interventions. - Sidaty El Hadramy; Juan Verde; Nicolas Padoy; Stéphane Cotin (MICCAI (9), 2023)

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)

Self-distillation for Surgical Action Recognition. - Amine Yamlahi; Thuy Nuong Tran; Patrick Godau; Melanie Schellenberg; Dominik Michael; Finn-Henri Smidt; Jan-Hinrich Nölke; Tim J. Adler; Minu Dietlinde Tizabi; Chinedu Innocent Nwoye; Nicolas Padoy; Lena Maier-Hein (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)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge. - Aneeq Zia; Kiran Bhattacharyya; Xi Liu; Max Berniker; Ziheng Wang 003; Rogerio Nespolo; Satoshi Kondo; Satoshi Kasai; Kousuke Hirasawa; Bo Liu; David Austin; Yiheng Wang; et al. (CoRR, 2023)

INDEXITY: a web-based collaborative tool for medical video annotation. - Jean-Paul Mazellier; Méline Bour-Lang; Sabrina Bourouis; Johan Moreau; Aimable Muzuri; Olivier Schweitzer; Aslan Vatsaev; Julien Waechter; Emilie Wernert; Frederic Woelffel; Alexandre Hostettler; Nicolas Padoy; et al. (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)

CholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery. - Chinedu Innocent Nwoye; Kareem Elgohary; Anvita Srinivas; Fauzan Zaid; Joël L. Lavanchy; 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)

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)

Editorial for the MEDIA MICCAI special issue 2021. - Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng 001; Caroline Essert (Medical Image Anal., 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)

FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation. - Luca Sestini; Benoit Rosa; Elena De Momi; Giancarlo Ferrigno; Nicolas Padoy (Medical Image Anal., 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)

Automatic pancreas anatomical part detection in endoscopic ultrasound videos. - Antoine Fleurentin; Jean-Paul Mazellier; Adrien Meyer; Julieta Montanelli; Lee Swanstrom; Benoit Gallix; Leonardo Sosa Valencia; Nicolas Padoy (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Multi-objective optimization for X-ray exposure reduction during image-guided needle-based procedure. - Alexandre Krebs; Jean-Paul Mazellier; Cindy Rolland; Adrien Meyer; Julien Bert; Juan Verde; Nicolas Padoy (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Electromagnetic tracking of endoscopic ultrasound probe for pancreas examination: accuracy assessment under realistic medical conditions. - Jean-Paul Mazellier; Cindy Rolland; Emilie Wernert; Julieta Montanelli; Alexandre Hostettler; Lee Swanstrom; Benoit Gallix; Leonardo Sosa Valencia; Toby Collins; Nicolas Padoy (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 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)

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)

SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation. - Vinkle Srivastav; Keqi Chen; Nicolas Padoy (CVPR, 2024)

Towards Real-Time Vessel Guided Augmented Reality for Liver Surgery. - Sidaty El Hadramy; Juan Verde; Nicolas Padoy; Stéphane Cotin (ISBI, 2024)

Overcoming Dimensional Collapse in Self-Supervised Contrastive Learning for Medical Image Segmentation. - Jamshid Hassanpour; Vinkle Srivastav; Didier Mutter; Nicolas Padoy (ISBI, 2024)

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

Towards Real-Time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery. - Karl-Philippe Beaudet; Alexandros Karargyris; Sidaty El Hadramy; Stéphane Cotin; Jean-Paul Mazellier; Nicolas Padoy; Juan Verde (MICCAI (6), 2024)

Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model. - Diwei Wang; Kun Yuan 004; Candice Müller; Frédéric Blanc; Nicolas Padoy; Hyewon Seo (MICCAI (5), 2024)

HecVL: Hierarchical Video-Language Pretraining for Zero-Shot Surgical Phase Recognition. - Kun Yuan 004; Vinkle Srivastav; Nassir Navab; Nicolas Padoy (MICCAI (6), 2024)

Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation. - Julia Alekseenko; Alexandros Karargyris; Nicolas Padoy (MIDL, 2024)

Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation. - Kun Yuan 004; Vinkle Srivastav; Nassir Navab; Nicolas Padoy (NeurIPS, 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)

Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration. - Julia Alekseenko; Bram Stieltjes; Michael Bach; Melanie Boerries; Oliver Opitz; Alexandros Karargyris; Nicolas Padoy (CoRR, 2024)

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. - Ming Hu; Kun Yuan 004; Yaling Shen; Feilong Tang; Xiaohao Xu; Lin Zhou; Wei Li 044; Ying Chen; Zhongxing Xu; Zelin Peng; Siyuan Yan; Vinkle Srivastav; et al. (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)

On-the-fly point annotation for fast medical video labeling. - Adrien Meyer; Jean-Paul Mazellier; Jérémy Dana; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 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)

Advancing surgical VQA with scene graph knowledge. - Kun Yuan 004; Manasi Kattel; Joël L. Lavanchy; Nassir Navab; Vinkle Srivastav; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 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)

Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. - Yaling Shen; Zhixiong Zhuang; Kun Yuan 004; Maria-Irina Nicolae; Nassir Navab; Nicolas Padoy; Mario Fritz (AAAI, 2025)

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

CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools. - Chinedu Innocent Nwoye; Kareem Elgohary; Anvita Srinivas; Fauzan Zaid; Joël L. Lavanchy; Nicolas Padoy (CVPR, 2025)

Deform any Liver in Real-Time. - Sidaty El Hadramy; Nicolas Padoy; Stéphane Cotin (ISBI, 2025)

SurgiTrack: Fine-grained multi-class multi-tool tracking in surgical videos. - Chinedu Innocent Nwoye; Nicolas Padoy (Medical Image Anal., 2025)

SAF-IS: A spatial annotation free framework for instance segmentation of surgical tools. - Luca Sestini; Benoit Rosa; Elena De Momi; Giancarlo Ferrigno; Nicolas Padoy (Medical Image Anal., 2025)

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)

Rethinking data imbalance in class incremental surgical instrument segmentation. - Shifang Zhao; Long Bai 008; Kun Yuan 004; Feng Li 034; Jieming Yu; Wenzhen Dong; Guankun Wang; Mobarakol Islam; Nicolas Padoy; Nassir Navab; Hongliang Ren 001 (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)

SimGen: A Diffusion-Based Framework for Simultaneous Surgical Image and Segmentation Mask Generation. - Aditya Bhat; Rupak Bose; Chinedu Innocent Nwoye; Nicolas Padoy (CoRR, 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)

CoSimGen: Controllable Diffusion Model for Simultaneous Image and Mask Generation. - Rupak Bose; Chinedu Innocent Nwoye; Aditya Bhat; 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)

Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery. - Rupak Bose; Chinedu Innocent Nwoye; Jorge Lazo; Joël L. Lavanchy; Nicolas Padoy (CoRR, 2025)

A Skull-Adaptive Framework for AI-Based 3D Transcranial Focused Ultrasound Simulation. - Vinkle Srivastav; Juliette Puel; Jonathan Vappou; Elijah Van Houten; Paolo Cabras; Nicolas Padoy (CoRR, 2025)

Text-driven adaptation of foundation models for few-shot surgical workflow analysis. - Tingxuan Chen; Kun Yuan 004; Vinkle Srivastav; Nassir Navab; Nicolas Padoy (Int. J. Comput. Assist. Radiol. Surg., 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)

SurgVidLM: Towards Multi-grained Surgical Video Understanding with Large Language Model. - Guankun Wang; Wenjin Mo; Junyi Wang; Long Bai 008; Kun Yuan 004; Ming Hu; Jinlin Wu; Junjun He; Yiming Huang; Nicolas Padoy; Zhen Lei 001; Hongbin Liu 001; et al. (CoRR, 2025)

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement. - Kun Yuan 004; Tingxuan Chen; Shi Li; Joël L. Lavanchy; Christian Heiliger; Ege Özsoy; Yiming Huang; Long Bai 008; Nassir Navab; Vinkle Srivastav; Hongliang Ren 001; Nicolas Padoy (CoRR, 2025)

SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting. - Yiming Huang; Long Bai 008; Beilei Cui; Kun Yuan 004; Guankun Wang; Mobarak I. Hoque; Nicolas Padoy; Nassir Navab; Hongliang Ren 001 (CoRR, 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)

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)

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision. - Soham Walimbe; Britty Baby; Vinkle Srivastav; 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)

EndoChat: Grounded multimodal large language model for endoscopic surgery. - Guankun Wang; Long Bai 008; Junyi Wang; Kun Yuan 004; Zhen Li 026; Tianxu Jiang; Xiting He; Jinlin Wu; Zhen Chen 018; Zhen Lei 001; Hongbin Liu 001; Jiazheng Wang; et al. (Medical Image Anal., 2026)