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Vinkle Srivastav

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

Aug 26, 2021
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy

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* The source code will be available at https://github.com/CAMMA-public/HPE-AdaptOR

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Artificial Intelligence in Surgery: Neural Networks and Deep Learning

Sep 28, 2020
Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, Nicolas Padoy

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* In Hashimoto D.A. (Ed.) Artificial Intelligence in Surgery: A Primer for Surgical Practice. New York: McGraw Hill. ISBN: 978-1260452730 (2020)

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Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training

Jul 16, 2020
Vinkle Srivastav, Britty Baby, Ramandeep Singh, Prem Kalra, Ashish Suri

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* IEEE (2017)
* Published at Federated Conference on Computer Science and Information Systems - FedCSIS 2017

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

Jul 16, 2020
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy

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* Accepted at MICCAI 2020

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

Jul 16, 2020
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy

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* Springer (2019) 583-591
* Published at MICCAI-2019

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