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Nicolas Padoy

Showing results (21-30 of 102) with videos related to

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International Journal of Computer Assisted Radiology and Surgery|April 17, 2025
Text-driven adaptation of foundation models for few-shot surgical workflow analysisTingxuan Chen, Kun Yuan, Vinkle Srivastav, et al.
International Journal of Computer Assisted Radiology and Surgery|June 14, 2026
Surg-NAT+: negation-aware vision-language refinement for fine-grained surgical understandingKun Yuan, Yutong Cao, Yunxi Tang, et al.
IEEE Transactions on Medical Imaging|July 29, 2019
Future-State Predicting LSTM for Early Surgery Type RecognitionSiddharth Kannan, Gaurav Yengera, Didier Mutter, et al.
International Journal of Computer Assisted Radiology and Surgery|April 26, 2022
Self-supervised learning via cluster distance prediction for operating room context awarenessIdris Hamoud, Alexandros Karargyris, Aidean Sharghi, et al.
International Journal of Computer Assisted Radiology and Surgery|September 11, 2025
Ultrasam: a foundation model for ultrasound using large open-access segmentation datasetsAdrien Meyer, Aditya Murali, Farahdiba Zarin, et al.
International Journal of Computer Assisted Radiology and Surgery|April 8, 2015
Classification approach for automatic laparoscopic video database organizationAndru Putra Twinanda, Jacques Marescaux, Michel de Mathelin, et al.
IEEE Transactions on Medical Imaging|November 14, 2022
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical PhasesHasan Kassem, Deepak Alapatt, Pietro Mascagni, et al.
Medical Image Analysis|January 24, 2025
SAF-IS: A spatial annotation free framework for instance segmentation of surgical toolsLuca Sestini, Benoit Rosa, Elena De Momi, et al.
Surgical Endoscopy|August 16, 2023
Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic reviewRomina Pedrett, Pietro Mascagni, Guido Beldi, et al.
IEEE Transactions on Medical Imaging|October 30, 2018
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual AnnotationsAndru Putra Twinanda, Gaurav Yengera, Didier Mutter, et al.
Pageof 11

Showing results (21-30 of 102) with videos related to

Sort By:
Pageof 11
International Journal of Computer Assisted Radiology and Surgery|April 17, 2025
Text-driven adaptation of foundation models for few-shot surgical workflow analysisTingxuan Chen, Kun Yuan, Vinkle Srivastav, et al.
International Journal of Computer Assisted Radiology and Surgery|June 14, 2026
Surg-NAT+: negation-aware vision-language refinement for fine-grained surgical understandingKun Yuan, Yutong Cao, Yunxi Tang, et al.
IEEE Transactions on Medical Imaging|July 29, 2019
Future-State Predicting LSTM for Early Surgery Type RecognitionSiddharth Kannan, Gaurav Yengera, Didier Mutter, et al.
International Journal of Computer Assisted Radiology and Surgery|April 26, 2022
Self-supervised learning via cluster distance prediction for operating room context awarenessIdris Hamoud, Alexandros Karargyris, Aidean Sharghi, et al.
International Journal of Computer Assisted Radiology and Surgery|September 11, 2025
Ultrasam: a foundation model for ultrasound using large open-access segmentation datasetsAdrien Meyer, Aditya Murali, Farahdiba Zarin, et al.
International Journal of Computer Assisted Radiology and Surgery|April 8, 2015
Classification approach for automatic laparoscopic video database organizationAndru Putra Twinanda, Jacques Marescaux, Michel de Mathelin, et al.
IEEE Transactions on Medical Imaging|November 14, 2022
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical PhasesHasan Kassem, Deepak Alapatt, Pietro Mascagni, et al.
Medical Image Analysis|January 24, 2025
SAF-IS: A spatial annotation free framework for instance segmentation of surgical toolsLuca Sestini, Benoit Rosa, Elena De Momi, et al.
Surgical Endoscopy|August 16, 2023
Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic reviewRomina Pedrett, Pietro Mascagni, Guido Beldi, et al.
IEEE Transactions on Medical Imaging|October 30, 2018
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual AnnotationsAndru Putra Twinanda, Gaurav Yengera, Didier Mutter, et al.
Pageof 11