LifangHe

atlasreader

Python interface for generating coordinate tables and region labels from statistical MRI images

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-explainability-papers

Papers about explainability of GNNs

BrainGNN_Pytorch

A preliminary implementation of BrainGNN

DeepLearning

GWAS-BCCAD

Analysis Pipelines to replicatet the analysis of: Genome-Wide Association Study of Brain Connectivity Changes for Alzheimer’s Disease

KDD16_HAM

Joint Community and Structural Hole Spanner Detection via Harmonic Modularity

NeurIPS18_SURF

Boosted Sparse and Low-Rank Tensor Regression

SDM14_DuSK

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages

LifangHe/BrainGNN_Pytorch

A preliminary implementation of BrainGNN

LifangHe/awesome-graph-explainability-papers

Papers about explainability of GNNs

LifangHe/AndysBrainBook

This repository contains the files that generate Andy's Brain Book on ReadTheDocs.

LifangHe/Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

LifangHe/awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

LifangHe/awesome-self-supervised-learning

A curated list of awesome self-supervised methods

LifangHe/BrainGB

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

LifangHe/brainiak-aperture

BrainIAK Aperture submission

LifangHe/BrainNetClass

LifangHe/cca_zoo

Canonical Correlation Analysis Model Zoo: Standard: CCA, GCCA, MCCA, TCCA, KCCA, TKCCA, sparse CCA , ridge CCA and elastic CCA, PMD, PLS. Deep: DCCA, DMCCA, DGCCA, DTCCA. DVCCA, DCCAE, SplitAE. Probabilistic: VBCCCA. With simulated data generation and toy datasets.

LifangHe/Change-Detection-Review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

LifangHe/covid19.MIScnn

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

LifangHe/cycle-diffusion

[ICCV 2023] A latent space for stochastic diffusion models

LifangHe/Dendritic-Non-Dendritic-Classification

This work consists of a comparative study between transfer learning and feature enginering techniques in classification of dendritic or non-dendritic microstructural morphologies.

LifangHe/EEG-DL

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

LifangHe/effective_connectivity_toolbox

hese scripts aim at computing the effective connectivity by using functional and structural MRI data, as in A.Crimi et al. "Effective Brain Connectivity Through a Constrained Autoregressive Model" MICCAI 2016

LifangHe/GANs-for-Medical-Data

Code to run experiments generating synthetic time series medical data

LifangHe/generic-expression-patterns

Distinguishing between generic and experiment-specific gene expression signals.

LifangHe/graph-attribution

Codebase for Evaluating Attribution for Graph Neural Networks.

LifangHe/GVAED

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models

LifangHe/jmmlrc

Code for Joint Multi-Modal Longitudinal Regression and Classification

LifangHe/kGCN

A graph-based deep learning framework for life science

LifangHe/lassonet

Feature selection in neural networks

LifangHe/m3ae_public

Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation

LifangHe/MFINet

LifangHe/neural-ode-pde-sde

LifangHe/satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

LifangHe/st_pipeline

ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format.

LifangHe/TransformerCVAE

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

LifangHe/voxelmorph

Unsupervised Learning for Image Registration