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2020 – today
- 2026
[j8]Keqi Chen, Séraphin Baributsa, Lilien Schewski, Vinkle Srivastav, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy:
Where are they looking in the operating room? Int. J. Comput. Assist. Radiol. Surg. 21(5): 939-948 (2026)- [i33]Keqi Chen, Vinkle Srivastav, Armine Vardazaryan, Cindy Rolland, Didier Mutter, Nicolas Padoy:
Self-Supervised Uncalibrated Multi-View Video Anonymization in the Operating Room. CoRR abs/2602.02850 (2026) - [i32]Florian Philipp Stilz, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
CliPPER: Contextual Video-Language Pretraining on Long-form Intraoperative Surgical Procedures for Event Recognition. CoRR abs/2603.24539 (2026) - [i31]Shi Li, Vinkle Srivastav, Nicolas Chanel
, Saurav Sharma, Nabani Banik, Lorenzo Arboit, Kun Yuan, Pietro Mascagni, Nicolas Padoy:
SurgTEMP: Temporal-Aware Surgical Video Question Answering with Text-guided Visual Memory for Laparoscopic Cholecystectomy. CoRR abs/2603.29962 (2026) - [i30]Keqi Chen, Séraphin Baributsa, Lilien Schewski, Vinkle Srivastav, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy:
Where are they looking in the operating room? CoRR abs/2604.20574 (2026) - 2025
- [j7]Tingxuan Chen, Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Text-driven adaptation of foundation models for few-shot surgical workflow analysis. Int. J. Comput. Assist. Radiol. Surg. 20(6): 1175-1183 (2025) - [j6]Keqi Chen, Lilien Schewski, Vinkle Srivastav, Joël L. Lavanchy, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy:
When do they StOP?: A first step toward automatically identifying team communication in the operating room. Int. J. Comput. Assist. Radiol. Surg. 20(7): 1371-1379 (2025) - [j5]Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Jacques Marescaux, Pietro Mascagni, Nassir Navab, Nicolas Padoy:
Learning multi-modal representations by watching hundreds of surgical video lectures. Medical Image Anal. 105: 103644 (2025) - [c18]Keqi Chen, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes. CVPR 2025: 24419-24428 - [c17]Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge:
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. ICCV 2025: 1-12 - [c16]Soham Walimbe, Britty Baby, Vinkle Srivastav, Nicolas Padoy:
Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision. MICCAI (11) 2025: 24-33 - [c15]Farahdiba Zarin, Nicolas Padoy, Jérémy Dana, Vinkle Srivastav:
End-to-End Learning of Multi-organ Implicit Surfaces from 3D Medical Imaging Data. ShapeMI@MICCAI 2025: 193-203 - [c14]Farahdiba Zarin, Riccardo Oliva, Vinkle Srivastav, Armine Vardazaryan, Andrea Rosati, Alice Zampolini Faustini, Giovanni Scambia, Anna Fagotti, Pietro Mascagni, Nicolas Padoy:
Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment. MICCAI (11) 2025: 358-368 - [c13]Britty Baby, Vinkle Srivastav, Pooja P. Jain, Kun Yuan, Pietro Mascagni, Nicolas Padoy:
Multi-modal Representations for Fine-Grained Multi-Label Critical View of Safety Recognition. MICCAI (11) 2025: 423-432 - [c12]Kun Yuan, Tingxuan Chen, Shi Li, Joël L. Lavanchy, Christian Heiliger, Ege Özsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy:
Recognizing Surgical Phases Anywhere: Few-Shot Test-Time Adaptation and Task-Graph Guided Refinement. MICCAI (9) 2025: 467-477 - [i29]Tingxuan Chen, Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Text-driven Adaptation of Foundation Models for Few-shot Surgical Workflow Analysis. CoRR abs/2501.09555 (2025) - [i28]Keqi Chen, Lilien Schewski, Vinkle Srivastav, Joël L. Lavanchy, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy:
When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room. CoRR abs/2502.08299 (2025) - [i27]Idris Hamoud, Vinkle Srivastav, Muhammad Abdullah Jamal, Didier Mutter, Omid Mohareri, Nicolas Padoy:
Multi-view Video-Pose Pretraining for Operating Room Surgical Activity Recognition. CoRR abs/2502.13883 (2025) - [i26]Keqi Chen, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes. CoRR abs/2503.13739 (2025) - [i25]Vinkle Srivastav, Juliette Puel, Jonathan Vappou, Elijah Van Houten, Paolo Cabras, Nicolas Padoy:
A Skull-Adaptive Framework for AI-Based 3D Transcranial Focused Ultrasound Simulation. CoRR abs/2505.12998 (2025) - [i24]Kun Yuan, Tingxuan Chen, Shi Li, Joël L. Lavanchy, Christian Heiliger, Ege Özsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy:
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement. CoRR abs/2506.20254 (2025) - [i23]Britty Baby, Vinkle Srivastav, Pooja P. Jain, Kun Yuan, Pietro Mascagni, Nicolas Padoy:
Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition. CoRR abs/2507.05007 (2025) - [i22]Soham Walimbe, Britty Baby, Vinkle Srivastav, Nicolas Padoy:
Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision. CoRR abs/2507.05020 (2025) - [i21]Farahdiba Zarin, Riccardo Oliva, Vinkle Srivastav, Armine Vardazaryan, Andrea Rosati, Alice Zampolini Faustini, Giovanni Scambia, Anna Fagotti, Pietro Mascagni, Nicolas Padoy:
Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment. CoRR abs/2507.06643 (2025) - [i20]Farahdiba Zarin, Nicolas Padoy, Jérémy Dana, Vinkle Srivastav:
End-to-End Learning of Multi-Organ Implicit Surfaces from 3D Medical Imaging Data. CoRR abs/2509.12068 (2025) - [i19]Lorenzo Arboit, Dennis N. Schneider, Britty Baby, Vinkle Srivastav, Pietro Mascagni, Nicolas Padoy:
Endoshare: A Source Available Solution to De-Identify and Manage Surgical Videos. CoRR abs/2510.20087 (2025) - [i18]Riccardo Oliva, Farahdiba Zarin, Alice Zampolini Faustini, Armine Vardazaryan, Andrea Rosati, Vinkle Srivastav, Nunzia Del Villano, Jacques Marescaux, Giovanni Scambia, Pietro Mascagni, Nicolas Padoy, Anna Fagotti:
Artificial Intelligence for the Assessment of Peritoneal Carcinosis during Diagnostic Laparoscopy for Advanced Ovarian Cancer. CoRR abs/2512.14797 (2025) - 2024
- [j4]Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy:
Advancing surgical VQA with scene graph knowledge. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1409-1417 (2024) - [c11]Vinkle Srivastav, Keqi Chen, Nicolas Padoy:
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation. CVPR 2024: 2502-2512 - [c10]Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Overcoming Dimensional Collapse in Self-Supervised Contrastive Learning for Medical Image Segmentation. ISBI 2024: 1-5 - [c9]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
HecVL: Hierarchical Video-Language Pretraining for Zero-Shot Surgical Phase Recognition. MICCAI (6) 2024: 306-316 - [c8]Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, Nicolas Padoy:
Jumpstarting Surgical Computer Vision. MICCAI (6) 2024: 328-338 - [c7]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation. NeurIPS 2024 - [i17]Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation. CoRR abs/2402.14611 (2024) - [i16]Vinkle Srivastav, Keqi Chen, Nicolas Padoy:
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation. CoRR abs/2404.02041 (2024) - [i15]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition. CoRR abs/2405.10075 (2024) - [i14]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation. CoRR abs/2410.00263 (2024) - [i13]Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge:
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. CoRR abs/2411.15421 (2024) - 2023
- [j3]Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Saurav Sharma, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting self-supervised learning methods for surgical computer vision. Medical Image Anal. 88: 102844 (2023) - [c6]Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri:
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. MIDL 2023: 1254-1268 - [i12]Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Pietro Mascagni, Nassir Navab, Nicolas Padoy:
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures. CoRR abs/2307.15220 (2023) - [i11]Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, AI4SafeChole Consortium, Nicolas Padoy:
Jumpstarting Surgical Computer Vision. CoRR abs/2312.05968 (2023) - [i10]Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy:
Advancing Surgical VQA with Scene Graph Knowledge. CoRR abs/2312.10251 (2023) - [i9]Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri:
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. CoRR abs/2312.12250 (2023) - 2022
- [j2]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room. Medical Image Anal. 80: 102525 (2022) - [i8]Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. CoRR abs/2207.00449 (2022) - 2021
- [b1]Vinkle Kumar Srivastav:
Unsupervised domain adaptation approaches for person localization in the operating rooms. (Approches d'adaptation de domaine non supervisées pour la localisation de personnes dans la salle d'opération). University of Strasbourg, France, 2021 - [i7]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR. CoRR abs/2108.11801 (2021) - 2020
- [c5]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Self-supervision on Unlabelled or Data for Multi-person 2D/3D Human Pose Estimation. MICCAI (1) 2020: 761-771 - [i6]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. CoRR abs/2007.08340 (2020) - [i5]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation. CoRR abs/2007.08354 (2020) - [i4]Vinkle Kumar Srivastav, Britty Baby, Ramandeep Singh, Prem Kalra, Ashish Suri:
Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training. CoRR abs/2007.08378 (2020) - [i3]Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, Nicolas Padoy:
Artificial Intelligence in Surgery: Neural Networks and Deep Learning. CoRR abs/2009.13411 (2020)
2010 – 2019
- 2019
- [j1]Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1049-1058 (2019) - [c4]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. MICCAI (5) 2019: 583-591 - 2018
- [i2]Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy:
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation. CoRR abs/1808.08180 (2018) - [i1]Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach. CoRR abs/1811.12296 (2018) - 2017
- [c3]Vinkle Kumar Srivastav, Britty Baby, Ramandeep Singh, Prem Kalra, Ashish Suri:
Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training. FedCSIS 2017: 213-219 - 2016
- [c2]Britty Baby, Vinkle Kumar Srivastav, Ramandeep Singh, Ashish Suri, Subhashis Banerjee:
Neuro-endo-activity-tracker: An automatic activity detection application for Neuro-Endo-Trainer: Neuro-Endo-activity-tracker. ICACCI 2016: 987-993 - 2015
- [c1]Vinkle Kumar Srivastav, Britty Baby, Natesan Damodaran, Ashish Suri:
Internet-enabled Skills Training Platform for neurosurgical training. COMSNETS 2015: 1-3
Coauthor Index
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last updated on 2026-07-20 01:28 CEST by the dblp team
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