sahahn

sahahn's Stars

• sdv-dev/CTGAN

  Conditional GAN for generating synthetic tabular data.

  Language:Python1.2k23209281

• nilearn/nilearn

  Machine learning for NeuroImaging in Python

  Language:Python1.2k702.1k588

• netneurolab/neuromaps

  A toolbox for comparing brain maps

  Language:Python23367752

• ANTsX/ANTsPyNet

  Pre-trained models and utilities for deep learning on medical images in Python

  Language:Python192108028

• Washington-University/workbench

  Connectome Workbench

  Language:C++183226561

• danchyy/Basketball_Analytics

  Repository which contains various scripts and work with various basketball statistics

  Language:Jupyter Notebook15114043

• PennLINC/qsiprep

  Preprocessing of diffusion MRI

  Language:Python1381548955

• ha-ha-ha-han/UKBiobank_deep_pretrain

  Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.

  Language:Jupyter Notebook12351136

• neurodata/SPORF

  This is the implementation of Sparse Projection Oblique Randomer Forest

  Language:C++971016546

• rpomponio/neuroHarmonize

  Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).

  Language:Python7953028

• dangnh0611/kaggle_rsna_breast_cancer

  1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection

  Language:Python741824

• Qoala-T/QC

  Qoala-T is a supervised-learning tool for quality control of FreeSurfer segmented MRI data

  Language:R7242115

• nipreps/dmriprep

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

  Language:Python64138624

• faskowit/multiAtlasTT

  multi atlas transfer tools for neuroimaging (maTT)

  Language:Shell577127

• QingyuZhao/BR-Net

  Language:Jupyter Notebook464720

• ExpectationMax/sklearn-jax-kernels

  Composable kernels for scikit-learn implemented in JAX.

  Language:Python41514

• cocoanlab/interpret_ml_neuroimaging

  Codes and datasets for "Interpreting machine learning models in neuroimaging: a unified framework"

  Language:Jupyter Notebook287012

• danjgale/reg-fusion

  Python implementation of Wu et al (2018)'s registration fusion

  Language:Python26242

• nkdinsdale/Unlearning_for_MRI_harmonisation

  Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

  Language:Python251310

• sina-mansour/neural-identity

  Language:Python15203

• dipy/GPUStreamlines

  Language:Cuda91786

• neuronets/progressivegan3d

  WIP

  Language:Python4482

• hrishi-ds/Medium

  Language:Jupyter Notebook23

• ngohgia/brainsurfcnn

  BrainSurfCNN for individualized prediction of task contrasts from resting-state functional connectivity

  Language:Jupyter Notebook10