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

Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge

Automatic creation of anatomical coordinate system on the knee bones (Femur, Patella and Tibia)

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

Q Learning EV3 Robot Learning How to Walk

Application that detection and progression of knee osteoarthritis based on machine learning

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

Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in OpenSim.

TER 1A - Modélisation du genou dans la marche humaine

TER 1A - Modélisation 3D du genou dans la marche humaine

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.