Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
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
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
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.
Shoot a knarrow to the knee
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.
Prediction of total knee replacement using deep learning analysis of knee MRI
Matlab code for calculating and displaying MRI T1rho images
Training and validation with yolov8 with the Knee Xray roboflow dataset (keypoint labeling) with tranfer learning with pose estimation.
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#
Comparison of baseline characteristics of patients undergoing ACLR under the option of the LET surgical technique
Matlab code for analyzing MRI knee geometry
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