#Dti

dipy

dipy

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.

jibikbam

CNN-3D-images-Tensorflow

3D image classification using CNN (Convolutional Neural Network)

mfroeling

QMRITools

Processing and visualization tools for quantitative MRI data

dfsp-spirit

fsbrain

R library for structural neuroimaging. Provides high-level functions to access (read and write) and visualize surface-based brain morphometry data for individuals and groups.