Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in ROS.
-
Updated
Aug 5, 2020 - Python
Development of FES knee controllers (bang-bang, PID, PID-ILC and PID-extremum seeking) in ROS.
Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
Shoot a knarrow to the knee
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative
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.
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
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."