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.
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative
Shoot a knarrow to the knee
Automatic creation of anatomical coordinate system on the knee bones (Femur, Patella and Tibia)
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.
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.
Matlab code for calculating and displaying MRI T1rho images
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
Application that detection and progression of knee osteoarthritis based on machine learning
Q Learning EV3 Robot Learning How to Walk
Implementation of robust knee/elbow finding algorithm 'Kneedle' in c#
Matlab code for analyzing MRI knee geometry
Comparison of baseline characteristics of patients undergoing ACLR under the option of the LET surgical technique
TER 1A - Modélisation du genou dans la marche humaine
TER 1A - Modélisation 3D du genou dans la marche humaine
Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in ROS.
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