Search Results for author: S. Swaroop Vedula

Found 8 papers, 4 papers with code

An Endoscopic Chisel: Intraoperative Imaging Carves 3D Anatomical Models

no code implementations19 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.

Anatomy Monocular Depth Estimation

A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video

no code implementations22 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.

3D Reconstruction Anatomy +3

AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation

1 code implementation7 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.

Scene Segmentation Segmentation

Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos

1 code implementation31 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.

Unsupervised Domain Adaptation

Video-based assessment of intraoperative surgical skill

no code implementations13 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.

Specificity

Recognizing Surgical Activities with Recurrent Neural Networks

3 code implementations20 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.

Gesture Recognition

Automated Objective Surgical Skill Assessment in the Operating Room Using Unstructured Tool Motion

no code implementations18 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.

Descriptive

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