knee
There are 22 repositories under knee topic.
imedslab/DeepKnee
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
shurutech/knee
An interactive open-source CLI tool built on top of Ansible, used to automate infrastructure setup.
imedslab/KNEEL
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
denizlab/oai-xray-tkr-klg
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative
InCogNiTo124/knarrow
Shoot a knarrow to the knee
denizlab/2019_IWOAI_Challenge
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
renaultJB/GIBOC-Knee-Coordinate-System
Automatic creation of anatomical coordinate system on the knee bones (Femur, Patella and Tibia)
imedslab/KneeLocalizer
Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.
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.
mggardne/T1rho
Matlab code for calculating and displaying MRI T1rho images
mohamed-said-ibrahem/MRNET-For-Knee-Diagnosis
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
aawadall/Q-Learning-Robot
Q Learning EV3 Robot Learning How to Walk
amgad-div/Save_knee
Application that detection and progression of knee osteoarthritis based on machine learning
dc0d32/Kneedle
Implementation of robust knee/elbow finding algorithm 'Kneedle' in c#
anacsousa1/opensim-fes-knee-control
Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in OpenSim.
anacsousa1/ros-fes-knee-control
Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in ROS.
mggardne/Matlab_geometry
Matlab code for analyzing MRI knee geometry
philsf-biostat/SAR-2021-004-TV
Comparison of baseline characteristics of patients undergoing ACLR under the option of the LET surgical technique
brieuc-praud/Genou-2D
TER 1A - Modélisation du genou dans la marche humaine
brieuc-praud/Genou-3D
TER 1A - Modélisation 3D du genou dans la marche humaine
diegoperea20/Knee-Xray-keypoints-detection-YOLOV8
Training and validation with yolov8 with the Knee Xray roboflow dataset (keypoint labeling) with tranfer learning with pose estimation.
diwakardkk/Knee-MRI-Viewer
A Python-based GUI application using Tkinter for visualizing and analyzing knee MRI volumes. The tool enables slice-by-slice visualization, ROI localization, and interactive zooming, designed to assist researchers and radiologists in studying ACL conditions.