1 code implementation • 17 May 2024 • Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel
There have been some attempts in the literature to perform parameter-efficient finetuning of such foundation models for medical image segmentation.
no code implementations • 19 Feb 2024 • Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel, Manish Sahu, Jose L. Porras, S. Swaroop Vedula, Masaru Ishii, Gregory Hager, Russell H. Taylor, Mathias Unberath
Purpose: Preoperative imaging plays a pivotal role in sinus surgery where CTs offer patient-specific insights of complex anatomy, enabling real-time intraoperative navigation to complement endoscopy imaging.
no code implementations • 22 Oct 2023 • Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel, Isabela Hernández, Jonas Winter, Manish Sahu, Jose L. Porras, S. Swaroop Vedula, Masaru Ishii, Gregory Hager, Russell H. Taylor, Mathias Unberath
In this work, we perform a quantitative analysis of a self-supervised approach for sinus reconstruction using endoscopic sequences paired with optical tracking and high-resolution computed tomography acquired from nine ex-vivo specimens.
1 code implementation • 7 Aug 2023 • Jay N. Paranjape, Nithin Gopalakrishnan Nair, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel
However, SAM does not generalize well to the medical domain as is without utilizing a large amount of compute resources for fine-tuning and using task-specific prompts.
1 code implementation • 31 Jul 2023 • Jay N. Paranjape, Shameema Sikder, Vishal M. Patel, S. Swaroop Vedula
In this paper, we highlight this domain shift in the commonly performed cataract surgery and propose a novel end-to-end Unsupervised Domain Adaptation (UDA) method called the Barlow Adaptor that addresses the problem of distribution shift without requiring any labels from another domain.
1 code implementation • 20 Jul 2023 • Nisarg A. Shah, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel
These results validate the suitability of our proposed approach for automated surgical step recognition.
no code implementations • 13 May 2022 • Sanchit Hira, Digvijay Singh, Tae Soo Kim, Shobhit Gupta, Gregory Hager, Shameema Sikder, S. Swaroop Vedula
The neural network approach using attention mechanisms also showed high sensitivity and specificity.
3 code implementations • 20 Jun 2016 • Robert DiPietro, Colin Lea, Anand Malpani, Narges Ahmidi, S. Swaroop Vedula, Gyusung I. Lee, Mija R. Lee, Gregory D. Hager
In contrast, we work on recognizing both gestures and longer, higher-level activites, or maneuvers, and we model the mapping from kinematics to gestures/maneuvers with recurrent neural networks.
Ranked #1 on Surgical Skills Evaluation on MISTIC-SIL
no code implementations • 18 Dec 2014 • Piyush Poddar, Narges Ahmidi, S. Swaroop Vedula, Lisa Ishii, Gregory D. Hager, Masaru Ishii
Previous work on surgical skill assessment using intraoperative tool motion in the operating room (OR) has focused on highly-structured surgical tasks such as cholecystectomy.