High-performance GPU-based simulation platform for reinforcement learning with surgical robot learning
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Updated
Jan 30, 2024 - Python
High-performance GPU-based simulation platform for reinforcement learning with surgical robot learning
SciKit-Surgery - Compact Libraries for Surgical Navigation
Code repository for paper: "General surgery vision transformer: A video pre-trained foundation model for general surgery"
[Nature Biomedical Engineering 2023] Decoding surgical activity from videos with a vision transformer
Globally reasoned multi-task model for surgical scene understanding. A multi-task model for segmentation and scene graph. Offical Implementation of "Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding", ICRA 2022 & RA-L.
Toolkit for the Empirical Design of Stereotactic Brain Implants
SciKit-SurgeryCore implements algorithms and tools that are common to all SciKit-Surgery packages
A rudimentary SOFA application that uses an open-source framework to target real-time robotics simulation, with an emphasis on medical schemas.
Research Project at NCT + published at CURAC 2021
FRED provides an interactive demonstration of fiducial based registration for teaching purposes
Gear to make Surgical Masks smarter helping save several lives.
ARAS-Farabi Experimental Framework for Skill Assessment in Capsulorhexis Surgery: The ARAS-Farabi Framework is designed to facilitate research in the area of skill assessment for Capsulorhexis surgery. This framework utilizes deep learning techniques for real-time performance in detecting and tracking the capsulorhexis cystotome and pupil.
Landmark detection and humeral implant positioning with lightweight machine learning models.
ARAS-Farabi Experimental Framework for Skill Assessment in Capsulorhexis Surgery: The ARAS-Farabi Framework is designed to facilitate research in the area of skill assessment for Capsulorhexis surgery. This framework utilizes deep learning techniques for real-time performance in detecting and tracking the capsulorhexis cystotome and pupil.
Gear to make Surgical Masks smarter helping save several lives.
Predicting Intraoperative Hypotension Using Deep Learning with Waveforms of Arterial Blood Pressure, Electrocardiogram, and Electroencephalogram
This repository is for the JHU CIS 1 Course Programming Assignments
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