Deep-MI/BrainPrint-legacy

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Python
Created about 9 years ago
Updated almost 4 years ago

Deep-MI/BrainPrint-legacy

Deep-MI

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Python scripts for shape analysis of neuroimaging data (wrapping around shapeDNA and FreeSurfer)

FastSurfer

PyTorch implementation of FastSurferCNN

Jupyter Notebook

LaPy

Toolbox for Differential Geometry on Triangle and Tetrahedra Meshes (FEM, Laplace, Poisson, Heat Flow ...)

fsqc

A set of quality control scripts for FreeSurfer- and FastSurfer-processed structural MRI data

FatSegNet

Deep CNN for Abdominal Adipose Tissue Segmentation on Dixon MRI

BrainPrint

A python-only derivative of the original BrainPrint scripts

olf-bulb-segmentation

Automated Olfactory Bulb Segmentation Pipeline for T2-Weighted MRI

Jupyter Notebook

fslmer

Univariate and mass-univariate linear mixed-effects analysis for FreeSurfer imaging data.

DISCUS

The repository contains code for the Geometric Deep Learning for Diffusion MRI Signal Reconstruction with Continuous Samplings (DISCUS) project

3d-neuro-seg

Repository to our 3d neuro-anatomic segmentation method submitted to the MIDL 2022 conference

hipsta

HIPSTA - a python package for hippocampal shape and thickness analysis

Deep-MI.github.io

Deep Medical Imaging Lab Webpage

head-motion-from-MRI

Code for the paper "Estimating Head Motion from MRI", which predicts motion scores directly from MRI images.