Neural Networks and Deep Learning Course Project

A model of slow motor unit (Kim, 2017)

Motoneuron simulations for counting motor units (Major and Jones 2005)

A neural mass model of cross frequency coupling (Chehelcheraghi et al 2017)

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

🐼 osparc-simcore simulation framework

GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

CALFEM for Python is the Python port of the CALFEM finite element toolkit. It also implements meshing function based on GMSH and triangle. Visualisation routines are implemented using visvis and ma…

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Comprehensive and open-source library of analysis tools for MRI of the spinal cord.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on Li…

CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).

U-Net for biomedical image segmentation

[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image