Pinned Repositories
3D_DenseSeg
The implementation of 3D_DenseSeg for infant brain MRI segmentation
AD-ML
Framework for the reproducible classification of Alzheimer's disease using machine learning
AJIVE_Project
This repository provides the AJIVE software in Matlab and all related Matlab scripts to reproduce the results in the paper Angle-basied Joint And Individual Variation Explained (Feng et.al., 2018). Please refer to README.md for instruction.
CDPA
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets (EJS-22 paper)
D-CCA
A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)
D-GCCA
Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data (JMLR-22 paper)
FDRhmrf
A FDR controlling procedure based on hidden Markov random field (Biometrics-15 paper)
SA_DNN
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
SpatialCOVforTimeSeries
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations (AOS-19 paper)
two-stage-VAE-Attention-gate-BraTS2020
2SCM-VAAG: A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation (BraTS 2020 Challenge; BrainLes2020 paper)
shu-hai's Repositories
shu-hai/two-stage-VAE-Attention-gate-BraTS2020
2SCM-VAAG: A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation (BraTS 2020 Challenge; BrainLes2020 paper)
shu-hai/D-CCA
A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)
shu-hai/SA_DNN
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
shu-hai/CDPA
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets (EJS-22 paper)
shu-hai/D-GCCA
Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data (JMLR-22 paper)
shu-hai/FDRhmrf
A FDR controlling procedure based on hidden Markov random field (Biometrics-15 paper)
shu-hai/AD-ML
Framework for the reproducible classification of Alzheimer's disease using machine learning
shu-hai/awesome-multi-omics
List of software packages for multi-omics analysis
shu-hai/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
shu-hai/BDA_R_demos
Bayesian Data Analysis demos for R
shu-hai/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
shu-hai/BiTr-Unet
This repo is the source code for [BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation].
shu-hai/BraTs-Segmentation-Challenge
shu-hai/clinica
Software platform for clinical neuroimaging studies
shu-hai/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
shu-hai/deep-weight-prior
The Deep Weight Prior, ICLR 2019
shu-hai/demo-gwas
A demonstration of reproducing the analysis from a genome wide association study (GWAS)
shu-hai/EdgeFool
PyTorch implementation of EdgeFool: An Adversarial Image Enhancement Filter, ICASSP2020
shu-hai/gwas_scripts
Codebook from my GWAS cookbook
shu-hai/imputation
Imputation steps using the Michigan or Sanger imputation server.
shu-hai/mFI-PSO
This repo is the official implementation for Adversarial Image Generation and Training for Deep Neural Networks.
shu-hai/MitoImputePrep
Mitochondrial Impuration
shu-hai/openbreast
Digital mammography processing tools
shu-hai/plink
shu-hai/r02pro_source
shu-hai/SLIDE
R package SLIDE for Structural Learning and Integrative Decomposition of Multi-View Data
shu-hai/snps
tools for reading, writing, merging, and remapping SNPs
shu-hai/SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
shu-hai/ts_ensemble_sunspot
XGBoost-DL: A XGBoost-based ensemble method that combines deep learning models for sunspot number prediction
shu-hai/xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators