Luca Modenese (@modenaxe)
  • Stars
    star
    865
  • Global Rank 35,214 (Top 2 %)
  • Followers 176
  • Following 189
  • Registered over 10 years ago
  • Most used languages
    MATLAB
    75.0 %
    C++
    12.5 %
    Dockerfile
    12.5 %
  • Location 🇦🇺 Australia
  • Country Total Rank 721
  • Country Ranking
    MATLAB
    8
    C++
    809

Top repositories

1

awesome-biomechanics

A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.
725
star
2

msk-STAPLE

STAPLE (Shared Tools for Automatic Personalised Lower Extremity modelling) consists of a collection of methods for generating skeletal models from three-dimensional bone geometries, usually segmented from medical images. The methods are currently being expanded to create complete musculoskeletal models.
MATLAB
54
star
3

3d-muscles

Materials to reproduce the results of our paper about 3D muscle modelling.
MATLAB
28
star
4

MuscleParamOptimizer

Scripts and models to optimize musculotendon parameters in musculoskeletal models.
MATLAB
19
star
5

MuscleForceDirection

Package to interface musculoskeletal models with finite element packages
C++
10
star
6

msk-bone-deformation

Bone deformation tool designed for applying torsional profiles to bones of musculoskeletal models used in OpenSim
MATLAB
9
star
7

auto-lowerlimb-models-paper

Data (bone geometries and gait analysis data) and scripts to reproduce the results and figures of the scientific publication specified in the README file.
MATLAB
6
star
8

femoral-anteversion-paper

Reproducibility package (repropack) for generating all the models, results and figures included in the referenced publication. We investigated the effect of femoral anteversion on the joint reactions of the lower limb and compared the results against the in vivo loading measured by an instrumented prosthesis (Grand Challenge Dataset).
MATLAB
5
star
9

automatic-segmentation

collection of deep learning and dataset resources
2
star
10

hello-github-actions

Dockerfile
1
star