knee
There are 0 repository under knee topic.
Oulu-IMEDS / DeepKnee
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Language:Python 63Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
Language:Python 40denizlab / oai-xray-tkr-klg
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative
Language:Python 19- Language:Python 17
shurutech / knee
An interactive open-source CLI tool built on top of Ansible, used to automate infrastructure setup.
Language:Python 17renaultJB / GIBOC-Knee-Coordinate-System
Automatic creation of anatomical coordinate system on the knee bones (Femur, Patella and Tibia)
Language:MATLAB 16Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
Language:Python 14Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.
Language:Python 11- hml
shayansss / hml
Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in multi-physics modeling of soft tissues.
Language:Jupyter Notebook 9 - Language:MATLAB 5
mohamed-said-ibrahem / MRNET-For-Knee-Diagnosis
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
Language:Jupyter Notebook 4aawadall / Q-Learning-Robot
Q Learning EV3 Robot Learning How to Walk
Language:Java 2amgad-div / Save_knee
Application that detection and progression of knee osteoarthritis based on machine learning
Language:Jupyter Notebook 2anacsousa1 / opensim-fes-knee-control
Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in OpenSim.
Language:MATLAB 2- Language:C# 2
Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in ROS.
Language:Python 1mggardne / Matlab_geometry
Matlab code for analyzing MRI knee geometry
Language:MATLAB 1philsf-biostat / SAR-2021-004-TV
Comparison of baseline characteristics of patients undergoing ACLR under the option of the LET surgical technique
Language:R 1brieuc-praud / Genou-2D
TER 1A - Modélisation du genou dans la marche humaine
Language:Fortran 0TER 1A - Modélisation 3D du genou dans la marche humaine
Language:Fortran 0
