Evaluating surgical skills from kinematic data using convolutional neural networks
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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.
(TMI-2024) Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
Official implementation of "Amplifying action-context greater: Image segmentation-guided intraoperative active bleeding detection" (MICCAI workshop 2022).
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
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