Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.
-
Updated
Nov 27, 2018 - Python
Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.
Implementation of robust knee/elbow finding algorithm 'Kneedle' in c#
Matlab code for analyzing MRI knee geometry
Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in ROS.
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
Matlab code for calculating and displaying MRI T1rho images
Automatic creation of anatomical coordinate system on the knee bones (Femur, Patella and Tibia)
Q Learning EV3 Robot Learning How to Walk
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
Comparison of baseline characteristics of patients undergoing ACLR under the option of the LET surgical technique
TER 1A - Modélisation 3D du genou dans la marche humaine
TER 1A - Modélisation du genou dans la marche humaine
Application that detection and progression of knee osteoarthritis based on machine learning
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.
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
An interactive open-source CLI tool built on top of Ansible, used to automate infrastructure setup.
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative
Training and validation with yolov8 with the Knee Xray roboflow dataset (keypoint labeling) with tranfer learning with pose estimation.
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
Add a description, image, and links to the knee topic page so that developers can more easily learn about it.
To associate your repository with the knee topic, visit your repo's landing page and select "manage topics."