Nicolas Padoy

Orcid: 0000-0002-5010-4137

According to our database1, Nicolas Padoy authored at least 116 papers between 2003 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Latent Graph Representations for Critical View of Safety Assessment.
IEEE Trans. Medical Imaging, March, 2024

Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model.
CoRR, 2024

Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer.
CoRR, 2024

Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation.
CoRR, 2024

2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal., October, 2023

Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition.
IEEE Trans. Medical Imaging, September, 2023

TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos.
Int. J. Comput. Assist. Radiol. Surg., September, 2023

Live laparoscopic video retrieval with compressed uncertainty.
Medical Image Anal., August, 2023

Dissecting self-supervised learning methods for surgical computer vision.
Medical Image Anal., August, 2023

Federated benchmarking of medical artificial intelligence with MedPerf.
Nat. Mac. Intell., July, 2023

Electromagnetic tracking of endoscopic ultrasound probe for pancreas examination: accuracy assessment under realistic medical conditions.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Multi-objective optimization for X-ray exposure reduction during image-guided needle-based procedure.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Automatic pancreas anatomical part detection in endoscopic ultrasound videos.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Medical Image Anal., May, 2023

FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation.
Medical Image Anal., April, 2023

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases.
IEEE Trans. Medical Imaging, 2023

Editorial for the MEDIA MICCAI special issue 2021.
Medical Image Anal., 2023

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark.
CoRR, 2023

ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room.
CoRR, 2023

Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery.
CoRR, 2023

Advancing Surgical VQA with Scene Graph Knowledge.
CoRR, 2023

MOSaiC: a Web-based Platform for Collaborative Medical Video Assessment and Annotation.
CoRR, 2023

CholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery.
CoRR, 2023

Jumpstarting Surgical Computer Vision.
CoRR, 2023

SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools.
CoRR, 2023

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures.
CoRR, 2023

INDEXITY: a web-based collaborative tool for medical video annotation.
CoRR, 2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.
CoRR, 2023

Why is the winner the best?
CoRR, 2023

Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos.
CoRR, 2023

Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition.
Int. J. Comput. Assist. Radiol. Surg., 2023

ST(OR)<sup>2</sup>: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room.
Proceedings of the Medical Imaging with Deep Learning, 2023

Self-distillation for Surgical Action Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Intraoperative CT Augmentation for Needle-Based Liver Interventions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Trackerless Volume Reconstruction from Intraoperative Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Why is the Winner the Best?
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Computer vision in surgery: from potential to clinical value.
npj Digit. Medicine, 2022

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room.
Medical Image Anal., 2022

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos.
Medical Image Anal., 2022

Surgical data science - from concepts toward clinical translation.
Medical Image Anal., 2022

Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation.
CoRR, 2022

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision.
CoRR, 2022

Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets.
CoRR, 2022

Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases.
CoRR, 2022

Organ-based estimation and minimization of clinician's X-ray dose.
Int. J. Comput. Assist. Radiol. Surg., 2022

Self-supervised learning via cluster distance prediction for operating room context awareness.
Int. J. Comput. Assist. Radiol. Surg., 2022

ClipAssistNet: bringing real-time safety feedback to operating rooms.
Int. J. Comput. Assist. Radiol. Surg., 2022

Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structures.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

2021
A Kinematic Bottleneck Approach for Pose Regression of Flexible Surgical Instruments Directly From Images.
IEEE Robotics Autom. Lett., 2021

A generalizable approach for multi-view 3D human pose regression.
Mach. Vis. Appl., 2021

Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation.
CoRR, 2021

2020 CATARACTS Semantic Segmentation Challenge.
CoRR, 2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
CoRR, 2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR.
CoRR, 2021

Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety.
CoRR, 2021

Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures.
Int. J. Comput. Assist. Radiol. Surg., 2021

A Review of Medical Federated Learning: Applications in Oncology and Cancer Research.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Future-State Predicting LSTM for Early Surgery Type Recognition.
IEEE Trans. Medical Imaging, 2020

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions.
Proc. IEEE, 2020

Surgical Data Science - from Concepts to Clinical Translation.
CoRR, 2020

Artificial Intelligence in Surgery: Neural Networks and Deep Learning.
CoRR, 2020

Self-supervision on Unlabelled or Data for Multi-person 2D/3D Human Pose Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Encode the Unseen: Predictive Video Hashing for Scalable Mid-stream Retrieval.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations.
IEEE Trans. Medical Imaging, 2019

Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos.
Int. J. Comput. Assist. Radiol. Surg., 2019

Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach.
Int. J. Comput. Assist. Radiol. Surg., 2019

Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Self-Supervised Surgical Tool Segmentation using Kinematic Information.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition.
CoRR, 2018

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation.
CoRR, 2018

Surgical Data Science: A Consensus Perspective.
CoRR, 2018

Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks.
CoRR, 2018

Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

2017
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos.
IEEE Trans. Medical Imaging, 2017

See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room.
IEEE Trans. Biomed. Eng., 2017

Articulated clinician detection using 3D pictorial structures on RGB-D data.
Medical Image Anal., 2017

Surgical Data Science: Enabling Next-Generation Surgery.
CoRR, 2017

A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Pose optimization of a C-arm imaging device to reduce intraoperative radiation exposure of staff and patient during interventional procedures.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016.
CoRR, 2016

Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016.
CoRR, 2016

3D Pictorial Structures on RGB-D Data for Articulated Human Detection in Operating Rooms.
CoRR, 2016

2015
Classification approach for automatic laparoscopic video database organization.
Int. J. Comput. Assist. Radiol. Surg., 2015

Erratum to: Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms.
Int. J. Comput. Assist. Radiol. Surg., 2015

Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms.
Int. J. Comput. Assist. Radiol. Surg., 2015

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

Marker-Less AR in the Hybrid Room Using Equipment Detection for Camera Relocalization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Pictorial Structures on RGB-D Images for Human Pose Estimation in the Operating Room.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
Fisher Kernel Based Task Boundary Retrieval in Laparoscopic Database with Single Video Query.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

3D Global Estimation and Augmented Reality Visualization of Intra-operative X-ray Dose.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Towards Better Laparoscopic Video Database Organization by Automatic Surgery Classification.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2014

Temporally Consistent 3D Pose Estimation in the Interventional Room Using Discrete MRF Optimization over RGBD Sequences.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2014

Piecewise Planar Decomposition of 3D Point Clouds Obtained from Multiple Static RGB-D Cameras.
Proceedings of the 2nd International Conference on 3D Vision, 2014

2012
Statistical modeling and recognition of surgical workflow.
Medical Image Anal., 2012

Deformable Tracking of Textured Curvilinear Objects.
Proceedings of the British Machine Vision Conference, 2012

Learned Partial Automation for Shared Control in Tele-Robotic Manipulation.
Proceedings of the Robots Learning Interactively from Human Teachers, 2012

2011
Spatio-Temporal Registration of Multiple Trajectories.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

3D thread tracking for robotic assistance in tele-surgery.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Human-Machine Collaborative surgery using learned models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

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

2009
Workflow monitoring based on 3D motion features.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Wavelet energy map: A robust support for multi-modal registration of medical images.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Automatic feature generation in endoscopic images.
Int. J. Comput. Assist. Radiol. Surg., 2008

Workflow mining for visualization and analysis of surgeries.
Int. J. Comput. Assist. Radiol. Surg., 2008

Modeling and Online Recognition of Surgical Phases Using Hidden Markov Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

On-line Recognition of Surgical Activity for Monitoring in the Operating Room.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
A Boosted Segmentation Method for Surgical Workflow Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2006
Messages Scheduling for Parallel Data Redistribution between Clusters.
IEEE Trans. Parallel Distributed Syst., 2006

New CTA Protocol and 2D-3D Registration Method for Liver Catheterization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2003
Messages Scheduling for Data Redistribution between Clusters.
Proceedings of the Parallel Processing and Applied Mathematics, 2003


  Loading...