Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

3D image classification using CNN (Convolutional Neural Network)

An official Molecule Transformer Drug Target Interaction (MT-DTI) model

Reusable neuroimaging pipelines using nipype

Predict whether the protien sequence and the drug SMILES will be interact with each other

ElikoPy is Python library aiming at easing the processing of diffusion imaging for microstructural analysis.

A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder

🧠 DTI-NODDI: Create NODDI maps from DTI (either "FA and MD" or "L1, L2, and L3")

A diffusion MRI models fitting software

3D Slicer extension to segment Multiple Sclerosis lesions on DTI and Structural MRI images

Classifies the stage of Alzheimer's Disease Progression