Internet-enabled Skills Training Platform for neurosurgical training. - Vinkle Kumar Srivastav; Britty Baby; Natesan Damodaran; Ashish Suri (COMSNETS, 2015)

Neuro-endo-activity-tracker: An automatic activity detection application for Neuro-Endo-Trainer: Neuro-Endo-activity-tracker. - Britty Baby; Vinkle Kumar Srivastav; Ramandeep Singh; Ashish Suri; Subhashis Banerjee (ICACCI, 2016)

Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training. - Vinkle Kumar Srivastav; Britty Baby; Ramandeep Singh; Prem Kalra; Ashish Suri (FedCSIS, 2017)

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)

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)

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)

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR. - Vinkle Srivastav; Afshin Gangi; Nicolas Padoy (CoRR, 2021)

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). - Vinkle Kumar Srivastav (2021)

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)

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room. - Vinkle Srivastav; Afshin Gangi; Nicolas Padoy (Medical Image Anal., 2022)

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)

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)

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)

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)

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

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

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

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)

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

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)

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)

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)

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)