N. Padoy

发表

Surgical data science for next-generation interventions

Russell H. Taylor, Gregory Hager, L. Maier-Hein, 2017, Nature Biomedical Engineering.

Human-Machine Collaborative surgery using learned models

Gregory D. Hager, Nicolas Padoy, Gregory Hager, 2011, 2011 IEEE International Conference on Robotics and Automation.

Single-and MultiTask Architectures for Tool Presence Detection Challenge at M 2 CAI 2016

N. Padoy, J. Marescaux, D. Mutter, 2016 .

Surgical Data Science: Enabling Next-Generation Surgery pdf

Nicolai Schoch, Nassir Navab, Russell H. Taylor, 2017, ArXiv.

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, 2016, IEEE Transactions on Medical Imaging.

Workflow monitoring based on 3D motion features

Nassir Navab, Marie-Odile Berger, Nicolas Padoy, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Statistical modeling and recognition of surgical workflow

Nassir Navab, Marie-Odile Berger, Seyed-Ahmad Ahmadi, 2012, Medical Image Anal..

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

Nicolas Padoy, Afshin Gangi, Michel de Mathelin, 2018, ArXiv.

Towards Application-specific Multi-modal Similarity Measures : a Regression Approach . ?

N. Padoy, N. Navab, H. Eckstein, 2009 .

On-line Recognition of Surgical Activity for Monitoring in the Operating Room

Nassir Navab, Marie-Odile Berger, Nicolas Padoy, 2008, AAAI.

Motif Discovery in OR Sensor Data with Application to Surgical Workflow Analysis and Activity Detection

Nassir Navab, Seyed-Ahmad Ahmadi, Nicolas Padoy, 2009 .

Recovery of Surgical Workflow: a Model-based Approach

Nassir Navab, Marie-Odile Berger, Nicolas Padoy, 2007 .

Workflow Based Assessment of the Camera Augmented Mobile Carm System

Lejing Wang, Ekkehard Euler, Nassir Navab, 2008 .

Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016 pdf

Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, 2016, ArXiv.

Seeing is believing: increasing intraoperative awareness to scattered radiation in interventional procedures by combining augmented reality, Monte Carlo simulations and wireless dosimeters

Nicolas Padoy, Nicolas Loy Rodas, N. Padoy, 2015, International Journal of Computer Assisted Radiology and Surgery.

Wavelet energy map: A robust support for multi-modal registration of medical images

Nassir Navab, Nicolas Padoy, Olivier Pauly, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Computer vision in surgery.

Thomas M. Ward, G. Rosman, N. Padoy, 2020, Surgery.

Multi-Stream Deep Architecture for Surgical Phase Recognition on Multi-View RGBD Videos

Andru Putra Twinanda, Nicolas Padoy, Afshin Gangi, 2017 .

Surgical data science – from concepts toward clinical translation

Nassir Navab, Gregory D. Hager, Gabor Fichtinger, 2020, Medical Image Anal..

Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos pdf

Didier Mutter, Jacques Marescaux, Nicolas Padoy, 2021, Medical Image Anal..

Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety

Didier Mutter, Jacques Marescaux, Nicolas Padoy, 2019, Surgical Endoscopy.

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision

C. I. Nwoye, N. Padoy, A. Karargyris, 2022, ArXiv.

Self-supervised learning via cluster distance prediction for operating room context awareness

N. Padoy, A. Karargyris, O. Mohareri, 2022, International Journal of Computer Assisted Radiology and Surgery.

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR

N. Padoy, A. Gangi, V. Srivastav, 2021, Medical Image Anal..

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark pdf

Pheng-Ann Heng, Lena Maier-Hein, Martin Wagner, 2021, Medical Image Anal..

Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives

S. Speidel, N. Padoy, S. Alfieri, 2022, Cancers.

Organ-based estimation and minimization of clinician’s X-ray dose

N. Padoy, J. Bert, J. Mazellier, 2022, International Journal of Computer Assisted Radiology and Surgery.

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR

N. Padoy, A. Gangi, V. Srivastav, 2021, ArXiv.

Computer vision in surgery: from potential to clinical value

N. Padoy, A. Madani, Yusuke Watanabe, 2022, npj Digital Medicine.

Artificial Intelligence and Surgery: Ethical Dilemmas and Open Issues.

N. Padoy, G. R. Marseglia, M. Massaro, 2022, Journal of the American College of Surgeons.

Self-supervised learning via cluster distance prediction for operating room context awareness

N. Padoy, A. Karargyris, O. Mohareri, 2022, International Journal of Computer Assisted Radiology and Surgery.

Technical Skill Assessment in Minimally Invasive Surgery Using Artificial Intelligence: A Systematic Review

N. Padoy, G. Beldi, P. Mascagni, 2022, medRxiv.

Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation

N. Padoy, D. Mutter, J. Mazellier, 2022, ArXiv.

Learning to Predict Error for MRI Reconstruction

S. Speidel, N. Padoy, P. Cattin, 2021 .

Organ-based estimation and minimization of clinician’s X-ray dose

N. Padoy, J. Bert, J. Mazellier, 2022, International Journal of Computer Assisted Radiology and Surgery.

Deformable Tracking of Textured Curvilinear Objects

Gregory D. Hager, Nicolas Padoy, Gregory Hager, 2012, BMVC.

Self-Supervised Surgical Tool Segmentation using Kinematic Information

Nicolas Padoy, Cristian da Costa Rocha, Benoit Rosa, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Surgical data science for next-generation interventions

Russell H. Taylor, Gregory Hager, L. Maier-Hein, 2017, Nature Biomedical Engineering.

and Activity Modeling for Monitoring Surgical Procedures

Nicolas Padoy, Nicolas Padoy, N. Padoy, 2010 .

CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection

Helena R. Torres, C. I. Nwoye, L. Maier-Hein, 2023, ArXiv.

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

Jacques Marescaux, Nicolas Padoy, Chinedu Innocent Nwoye, 2020, MICCAI.

Federated benchmarking of medical artificial intelligence with MedPerf pdf

Satyananda Kashyap, Nicolas Padoy, Grigori Fursin, 2021, Nature Machine Intelligence.

MedPerf: Open Benchmarking Platform for Medical AI using Federated Evaluation (npj Digital Medicine, arxiv)

Jayaraman J. Thiagarajan, Daniel J. Beutel, Micah J. Sheller, 2022 .

Surgical Data Science - from Concepts to Clinical Translation pdf

Gregory D. Hager, Gabor Fichtinger, Lena Maier-Hein, 2020, ArXiv.

Learned Partial Automation for Shared Control in Tele-Robotic Manipulation

Gregory D. Hager, Sebastian Bodenstedt, Nicolas Padoy, 2012, AAAI Fall Symposium: Robots Learning Interactively from Human Teachers.

Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety pdf

Nicolas Padoy, Bernard Dallemagne, Guido Costamagna, 2021, ArXiv.

Statistical models to preoperatively predict operative difficulty in laparoscopic cholecystectomy: A systematic review.

N. Padoy, S. Perretta, B. Dallemagne, 2021, Surgery.

Surgical Data Science: A Consensus Perspective pdf

Nicolai Schoch, Russell H. Taylor, Gregory D. Hager, 2018, ArXiv.

Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks pdf

Gaurav Yengera, Didier Mutter, Jacques Marescaux, 2018, ArXiv.

Deep Learning to Classify AL versus ATTR Cardiac Amyloidosis MR Images

N. Padoy, C. Roy, P. Germain, 2023, Biomedicines.

Computer Vision in the Operating Room: Opportunities and Caveats

Marco A. Zenati, Pietro Perona, Antonio Torralba, 2021, IEEE Transactions on Medical Robotics and Bionics.

Deep Learning Supplants Visual Analysis by Experienced Operators for the Diagnosis of Cardiac Amyloidosis by Cine-CMR

N. Padoy, C. Roy, P. Germain, 2021, Diagnostics.

Automatic Assessment of the Critical View of Safety in Laparoscopic Cholecystectomy Using Deep Learning

N. Padoy, J. Marescaux, D. Mutter, 2022 .

Intraoperative Time-Out to Promote the Implementation of the Critical View of Safety in Laparoscopic Cholecystectomy: A Video-Based Assessment of 343 Procedures.

N. Padoy, J. Marescaux, D. Mutter, 2021, Journal of the American College of Surgeons.

Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures

N. Padoy, J. Marescaux, D. Mutter, 2021, International Journal of Computer Assisted Radiology and Surgery.

Surgical data science and artificial intelligence for surgical education

Thomas M. Ward, N. Padoy, D. Hashimoto, 2021, Journal of surgical oncology.

A Boosted Segmentation Method for Surgical Workflow Analysis

Nassir Navab, Marie-Odile Berger, Irfan A. Essa, 2007, MICCAI.

UvA-DARE (Digital Academic Learning to Predict Error for MRI Reconstruction Learning to Predict Error for MRI Reconstruction

S. Speidel, N. Padoy, P. Cattin, 2021 .

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions

Mathias Unberath, Nicolas Padoy, Nassir Navab, 2019, Proceedings of the IEEE.

A Review of Medical Federated Learning: Applications in Oncology and Cancer Research

N. Padoy, A. Karargyris, Alexander Chowdhury, 2021, BrainLes@MICCAI.

Machine and deep learning for workflow recognition during surgery

Nicolas Padoy, N. Padoy, 2019, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

Why is the Winner the Best?

Helena R. Torres, Bjoern H Menze, Moi Hoon Yap, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases

N. Padoy, A. Karargyris, P. Mascagni, 2022, IEEE Transactions on Medical Imaging.

3D thread tracking for robotic assistance in tele-surgery

Gregory D. Hager, Nicolas Padoy, Gregory Hager, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos

N. Padoy, J. Marescaux, D. Mutter, 2021, Medical Image Anal..

Surgical data science for next-generation interventions

Russell H. Taylor, L. Maier-Hein, S. Vedula, 2017, Nature Biomedical Engineering.

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Helena R. Torres, Mohammad Hasan Sarhan, N. Padoy, 2022, Medical Image Anal..

SAGES consensus recommendations on an annotation framework for surgical video

Thomas M. Ward, L. Carin, G. Rosman, 2021, Surgical Endoscopy.

Future-State Predicting LSTM for Early Surgery Type Recognition

Gaurav Yengera, Didier Mutter, Jacques Marescaux, 2018, IEEE Transactions on Medical Imaging.

Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos

Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, 2017, MICCAI.

Self-distillation for surgical action recognition

L. Maier-Hein, N. Padoy, T. Adler, 2023, ArXiv.

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision

N. Padoy, A. Karargyris, Georgios Exarchakis, 2022, ArXiv.

ClipAssistNet: bringing real-time safety feedback to operating rooms

Nicolas Padoy, Enes Hosgor, Florian Aspart, 2021, International Journal of Computer Assisted Radiology and Surgery.

Rendezvous in Time: An Attention-based Temporal Fusion approach for Surgical Triplet Recognition

N. Padoy, D. Mutter, Saurav Sharma, 2022, International journal of computer assisted radiology and surgery.

Latent Graph Representations for Critical View of Safety Assessment

N. Padoy, D. Mutter, Alain Garcia, 2022, arXiv.org.

Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets

N. Padoy, C. Nwoye, 2022, ArXiv.

Endoscopic Vision Challenge 2021

Lena Maier-Hein, Martin Wagner, Sebastian Bodenstedt, 2021 .

Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos

Didier Mutter, Jacques Marescaux, Nicolas Padoy, 2018, International Journal of Computer Assisted Radiology and Surgery.

Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition pdf

Didier Mutter, Jacques Marescaux, Nicolas Padoy, 2018, ArXiv.

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation pdf

Nicolas Padoy, Afshin Gangi, Michel de Mathelin, 2018, ArXiv.

Biomedical image analysis competitions: The state of current participation practice

Anne L. Martel, Helena R. Torres, Bjoern H Menze, 2022, ArXiv.

Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation pdf

Didier Mutter, Jacques Marescaux, Nicolas Padoy, 2021, ArXiv.

A Kinematic Bottleneck Approach for Pose Regression of Flexible Surgical Instruments Directly From Images

Giancarlo Ferrigno, Elena De Momi, Nicolas Padoy, 2021, IEEE Robotics and Automation Letters.

Single- and Multi-Task Architecture for Surgical Workflow at M2CAI 2016

Andru Putra Twinanda, Didier Mutter, Jacques Marescaux, 2016 .

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

Didier Mutter, Jacques Marescaux, Nicolas Padoy, 2016, ArXiv.

RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations

Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, 2018, IEEE Transactions on Medical Imaging.

Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos pdf

Didier Mutter, Jacques Marescaux, Nicolas Padoy, 2018, CVII-STENT/LABELS@MICCAI.

Modeling and Online Recognition of Surgical Phases Using Hidden Markov Models

Nassir Navab, Nicolas Padoy, Tobias Blum, 2008, MICCAI.

A Computer Vision Platform to Automatically Locate Critical Events in Surgical Videos: Documenting Safety in Laparoscopic Cholecystectomy.

N. Padoy, J. Marescaux, D. Mutter, 2021, Annals of surgery.

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

Ivo M. Baltruschat, N. A. Jalal, J. Noble, 2023, ArXiv.

FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation

G. Ferrigno, N. Padoy, E. Momi, 2022, Medical Image Anal..

Live Laparoscopic Video Retrieval with Compressed Uncertainty

N. Padoy, J. Marescaux, D. Mutter, 2022, ArXiv.

Artificial Intelligence for Surgical Safety

N. Padoy, J. Marescaux, D. Mutter, 2020, Annals of surgery.

Classification of Cardiomyopathies from MR Cine Images Using Convolutional Neural Network with Transfer Learning

N. Padoy, C. Roy, P. Germain, 2021, Diagnostics.

OR black box and surgical control tower: Recording and streaming data and analytics to improve surgical care.

N. Padoy, P. Mascagni, P Mascagni, 2021, Journal of visceral surgery.

Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images pdf

Nicolas Padoy, Vinkle Srivastav, Afshin Gangi, 2019, MICCAI.

A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms

Nicolas Padoy, Afshin Gangi, Michel de Mathelin, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Promoting the Critical View of Safety for Safe Laparoscopic Cholecystectomy: Notes on Awareness and Correct Implementation.

N. Padoy, J. Marescaux, D. Mutter, 2022, Journal of the American College of Surgeons.

Automatic pancreas anatomical part detection in endoscopic ultrasound videos

N. Padoy, J. Mazellier, L. Swanstrom, 2022, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

Ivo M. Baltruschat, N. A. Jalal, J. Noble, 2023, ArXiv.

TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos

N. Padoy, J. Marescaux, D. Mutter, 2023, International Journal of Computer Assisted Radiology and Surgery.

Automatic feature generation in endoscopic images

Nassir Navab, Nicolas Padoy, Hubertus Feußner, 2008, International Journal of Computer Assisted Radiology and Surgery.

CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection

Helena R. Torres, L. Maier-Hein, N. Padoy, 2023, Medical Image Anal..

Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions

N. Padoy, D. Mutter, Saurav Sharma, 2023, MICCAI.

2020 CATARACTS Semantic Segmentation Challenge

Claudio Ravasio Martin Huber, N. Padoy, D. Stoyanov, 2021, ArXiv.

Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition

N. Padoy, D. Mutter, Saurav Sharma, 2022, International Journal of Computer Assisted Radiology and Surgery.

Fast dose calculation in x-ray guided interventions by using deep learning

D. Visvikis, N. Padoy, J. Bert, 2023, Physics in medicine and biology.

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision

N. Padoy, A. Karargyris, Georgios Exarchakis, 2022, Medical Image Anal..

Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms

Andru Putra Twinanda, Nicolas Padoy, Afshin Gangi, 2015, International Journal of Computer Assisted Radiology and Surgery.

A generalizable approach for multi-view 3D human pose regression

Nicolas Padoy, Abdolrahim Kadkhodamohammadi, N. Padoy, 2018, Machine Vision and Applications.

See It With Your Own Eyes: Markerless Mobile Augmented Reality for Radiation Awareness in the Hybrid Room

Nicolas Padoy, Fernando Barrera, Nicolas Loy Rodas, 2017, IEEE Transactions on Biomedical Engineering.

Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos

Joël L. Lavanchy, N. Padoy, D. Mutter, 2023, Scientific Reports.

Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology

Joël L. Lavanchy, N. Padoy, D. Mutter, 2022, Surgical Endoscopy.

Live Laparoscopic Video Retrieval with Compressed Uncertainty

N. Padoy, J. Marescaux, D. Mutter, 2022, Medical Image Anal..

Multicentric validation of EndoDigest: a computer vision platform for video documentation of the critical view of safety in laparoscopic cholecystectomy

N. Padoy, G. Costamagna, L. Boni, 2022, Surgical Endoscopy.

Classification approach for automatic laparoscopic video database organization

Andru Putra Twinanda, Jacques Marescaux, Nicolas Padoy, 2015, International Journal of Computer Assisted Radiology and Surgery.

Artificial Intelligence in Medicine: Passing Hype or the Holy Grail of Solutions?

Nicolas Padoy, Dirk Wilhelm, N. Padoy, 2020, Visceral Medicine.

Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach

Nicolas Padoy, Afshin Gangi, Vinkle Srivastav, 2018, International Journal of Computer Assisted Radiology and Surgery.

Biomedical image analysis competitions: The state of current participation practice

Anne L. Martel, Helena R. Torres, Bjoern H Menze, 2022, arXiv.org.

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures

Joël L. Lavanchy, N. Padoy, N. Navab, 2023, ArXiv.

Latent Graph Representations for Critical View of Safety Assessment

N. Padoy, D. Mutter, Alain Garcia, 2022, IEEE Transactions on Medical Imaging.

Planning and intraoperative visualization of liver catheterizations: new CTA protocol and 2D-3D registration method.

Nassir Navab, Nicolas Padoy, Martin Groher, 2007, Academic radiology.

Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition

N. Padoy, J. Marescaux, D. Mutter, 2023, IEEE Transactions on Medical Imaging.

Artificial Intelligence in Surgery: Neural Networks and Deep Learning pdf

Nicolas Padoy, Vinkle Srivastav, Deepak Alapatt, 2020, ArXiv.

Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation

N. Padoy, A. Gangi, V. Srivastav, 2020, MICCAI.

Workflow mining for visualization and analysis of surgeries

Nassir Navab, Nicolas Padoy, Tobias Blum, 2008, International Journal of Computer Assisted Radiology and Surgery.

CholecTrack20: A Dataset for Multi-Class Multiple Tool Tracking in Laparoscopic Surgery

Joël L. Lavanchy, N. Padoy, C. Nwoye, 2023, ArXiv.

Advancing Surgical VQA with Scene Graph Knowledge

Joël L. Lavanchy, N. Padoy, N. Navab, 2023, ArXiv.

SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education)

Thomas M. Ward, M. Talamini, G. Rosman, 2023, Surgical Endoscopy.

Articulated clinician detection using 3D pictorial structures on RGB‐D data

Nicolas Padoy, Afshin Gangi, Michel de Mathelin, 2016, Medical Image Anal..

3D Pictorial Structures on RGB-D Data for Articulated Human Detection in Operating Rooms pdf

Nicolas Padoy, Afshin Gangi, Michel de Mathelin, 2016, ArXiv.

Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

N. Padoy, Nariaki Okamoto, Deepak Alapatt, 2023, MICCAI.

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

Muhammad Abdullah Jamal, N. Padoy, V. Srivastav, 2023, MIDL.

27th International Congress of the European Association for Endoscopic Surgery (EAES) Sevilla, Spain, 12–15 June 2019

N. Padoy, J. Marescaux, D. Mutter, 2019, Surgical Endoscopy.

THE STUDY OF THE LIVER

Justus J. Bürgi, Joël L. Lavanchy, L. Alberio, 2023 .

Jumpstarting Surgical Computer Vision

N. Padoy, V. Srivastav, Deepak Alapatt, 2023, ArXiv.