TER 1A - Modélisation du genou dans la marche humaine

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

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

Comparison of baseline characteristics of patients undergoing ACLR under the option of the LET surgical technique

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

Shoot a knarrow to the knee

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

Training and validation with yolov8 with the Knee Xray roboflow dataset (keypoint labeling) with tranfer learning with pose estimation.

Matlab code for analyzing MRI knee geometry

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

An interactive open-source CLI tool built on top of Ansible, used to automate infrastructure setup.

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.

Q Learning EV3 Robot Learning How to Walk

Implementation of robust knee/elbow finding algorithm 'Kneedle' in c#

Matlab code for calculating and displaying MRI T1rho images

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

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

Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.