Evaluating surgical skills from kinematic data using convolutional neural networks
-
Updated
Nov 10, 2018 - Jupyter Notebook
Evaluating surgical skills from kinematic data using convolutional neural networks
WPF App for controlling and monitoring the system.
High-performance GPU-based simulation platform for reinforcement learning with surgical robot learning
Code for JCMC publication that resulted from UVM B.Sc. thesis work (doi: 10.1007/s10877-022-00908-z).
Детекция хирургических инструментов методами машинного зрения
MASF: Monitoring Assistant in Medical Field
Repository for my developed code for the second homework assignment in Advanced Surgical Robotics (RBE 595)
Best model selection for predicting survival of patients undergoing a particular type of liver operation in a hospital surgery unit. Code was built in R.
Official implementation of "Amplifying action-context greater: Image segmentation-guided intraoperative active bleeding detection" (MICCAI workshop 2022).
(TMI-2024) Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
Hamlyn workshop on Open-Source Software for Surgical Technologies 2024
A dashboard showcasing visualizations of surgical wait times in British Columbia
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020) - adapted for surgical tool usage and added attention
Add a description, image, and links to the surgical topic page so that developers can more easily learn about it.
To associate your repository with the surgical topic, visit your repo's landing page and select "manage topics."