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bnu-liuzhenzhao's Projects

adni icon adni

Using machine learning techniques to predict the onset of Alzheimer's disease for participants in the ADNI study

ants icon ants

Advanced Normalization Tools (ANTs)

antspy icon antspy

Advanced Normalization Tools in Python

brain-age-prediction icon brain-age-prediction

Official code for "Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data" paper

brainagepredictionresnet icon brainagepredictionresnet

3D residual neural network that predicts age based on brain MRI images (implemented using TensorFlow 2).

card icon card

Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"

deepin-wine icon deepin-wine

【deepin源移植】Debian/Ubuntu上最快的QQ/微信安装方式

fianet icon fianet

Brain Age prediction using multi-channel attention-fusion network

fmriprep icon fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

hcp2bids icon hcp2bids

To convert Human Connectome projects(HCP) data to BIDS std

life icon life

Please use the new version of LiFE: www.github.com/brain-life/encode

mrtrix3 icon mrtrix3

MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density

nda-tools icon nda-tools

Python package for interacting with NDA web services. Used to validate, submit, and download data to and from NDA.

pytorch-grad-norm icon pytorch-grad-norm

Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.

qsiprep icon qsiprep

Preprocessing and reconstruction of diffusion MRI

tipl icon tipl

template image processing library

transferlearning icon transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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