musculoskeletal

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

An AI-powered open-source medical image analysis toolbox

In this repository, we try to solve musculoskeletal tasks with `Double DQN reinforcement learning` by using a `transformer` model has been used as the base model architecture.

MyoChallenge evaluation scripts

A generic interface to generate a virtual buddy

Bone deformation tool designed for applying torsional profiles to bones of musculoskeletal models used in OpenSim

Resource for getting started with deep learning for MRIs/CTs. This codebase accompanies the release of the SCOPE-MRI dataset and paper (Sethi et al., NPJ AI 2025)

Real-time force estimation for the lower leg muscles using a Hill-type model and a distributed network of wearable sensors

Quantification of Myogenic Differentiation using Deep Learning

The open body framework.

☠ Software interactivo para aprender las partes del Sistema Muscular - Esquelético humano, incorporado con imágenes interactivas, y audios explicativos.

In this project, an LSTM-AE model is trained to fit the GRF data of healthy walking gait patterns. Then GRF data of patients with musculoskeletal impairments from GaitRec are used as test data. We analyzed the loss value generated from the trained lstm-ae model for GRF data of different phases of recovery.

musculoskeletal modelling using Opensim & Python

膝關節影像診斷課程｜繁體中文運動醫學影像教育、來源整理與學習工具

External preprocessing and analysis code for evaluating a muscle-bone imbalance phenotype in relation to fracture and osteoporosis risk across NHANES, KNHANES, and HRS.

Collection of open access publications by the author

AI-assisted musculoskeletal wellness assessment platform with a licensed-clinician review workflow. Public showcase.

Myovision Consulting Report

Muscle-activation control of a planar two-link, six-muscle human arm. Classical physics-based controllers on main; learning-based controllers (MotorNet, synergies, ANFIS, BC, MPC) with trained models on the learning branch.

A modern pure-Python implementation of FieldML 0.5: full evaluation engine, interop bridges (meshio/PyVista/XDMF/scikit-fem), curated biomechanics model zoo