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)

SA_DNN

Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)

D-CCA

A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)

CDPA

CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets (EJS-22 paper)

FDRhmrf

A FDR controlling procedure based on hidden Markov random field (Biometrics-15 paper)

SpatialCOVforTimeSeries

Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations (AOS-19 paper)

D-GCCA

Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data (JMLR-22 paper)

AD-ML

Framework for the reproducible classification of Alzheimer's disease using machine learning

awesome-multi-omics

List of software packages for multi-omics analysis

BDA_course_Aalto

Bayesian Data Analysis course at Aalto

BDA_R_demos

Bayesian Data Analysis demos for R

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

BiTr-Unet

This repo is the source code for [BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation].

BraTs-Segmentation-Challenge

clinica

Software platform for clinical neuroimaging studies

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-weight-prior

The Deep Weight Prior, ICLR 2019

demo-gwas

A demonstration of reproducing the analysis from a genome wide association study (GWAS)

EdgeFool

PyTorch implementation of EdgeFool: An Adversarial Image Enhancement Filter, ICASSP2020

gwas_scripts

Codebook from my GWAS cookbook

imputation

Imputation steps using the Michigan or Sanger imputation server.

mFI-PSO

This repo is the official implementation for Adversarial Image Generation and Training for Deep Neural Networks.

MitoImputePrep

Mitochondrial Impuration

openbreast

Digital mammography processing tools

plink

SLIDE

R package SLIDE for Structural Learning and Integrative Decomposition of Multi-View Data

snps

tools for reading, writing, merging, and remapping SNPs

SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges

ts_ensemble_sunspot

XGBoost-DL: A XGBoost-based ensemble method that combines deep learning models for sunspot number prediction

xgboost-survival-embeddings

Improving XGBoost survival analysis with embeddings and debiased estimators