MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation

Knee Osteoarthritis Analysis with X-ray Images using CNN

Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs

Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit

This is the implementation of the paper "Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective". We use some simple Machine Learnign methods and the data from OAI.

Knee osteoarthritis analysis with X-ray images using CNN with Squeeze-and-Excitation blocks

Matlab code for analyzing MRI knee geometry

Using Convolutional Nerual Networks in Knee Cartilage Segmentation from Ultrasound Images