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/GWAS-BCCAD

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

LifangHe/dl-4-tsc

Deep Learning for Time Series Classification

LifangHe/awesome-ehr-deeplearning

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

LifangHe/Brain-Tumor-Segmentation-1

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

LifangHe/cleanlab

Find label errors in datasets, weak supervision, and learning with noisy labels.

LifangHe/comp

Code for complementary-label learning.

LifangHe/confidentlearning-reproduce

Official data release to reproduce Confident Learning paper results

LifangHe/csrrr

LifangHe/DAG-GNN

LifangHe/deep-graph-matching-consensus

Implementation of Deep Graph Matching Consensus in PyTorch

LifangHe/deeplearning-biology

A list of deep learning implementations in biology

LifangHe/DLTK

Deep Learning Toolkit for Medical Image Analysis

LifangHe/ETNet

ETNet: Error Transition Network for Arbitrary Style Transfer (NeurIPS 2019)

LifangHe/federated-learning

Related material on Federated Learning

LifangHe/federated-tensor-factorization

LifangHe/gae

Implementation of Graph Auto-Encoders in TensorFlow

LifangHe/kover

Learn interpretable computational phenotyping models from k-merized genomic data

LifangHe/mci-to-ad-review

paper review on predicting mild cognitive impairment to alzheimer's disease conversion (MCI-to-AD) (Aug, 2019)

LifangHe/Medical-image-registration-Resources

Medical image registration related books, tutorials, papers, datasets, toolboxes and deep learning open source codes

LifangHe/mica-deep-mcca

Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets

LifangHe/notears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

LifangHe/NRI

Neural relational inference for interacting systems - pytorch

LifangHe/ProgressiveGAN3D

Progressive Growing of GANs for Improved Quality, Stability, and Variation

LifangHe/Region-Growing

Region growing segmentation algorithm using python

LifangHe/retinal-vessel-segmentation-with-rotation-augmentation

The code for paper "DATA AUGMENTATION IS MORE IMPORTANT THAN MODEL ARCHITECTURES FOR RETINAL VESSEL SEGMENTATION " We utilize the retina-unet "https://github.com/orobix/retina-unet" as the basic code, but we change a lot of code and add the rotation augmentation ,which achieves the good result AUC 0.9814.

LifangHe/SAGPool

Official PyTorch Implementation of SAGPool - ICML 2019

LifangHe/Spine-Landmark-Detection

Spine Vertebrae Landmark Detection

LifangHe/Tutorial-Medical-Image-Registration

Medical Image Registration

LifangHe/V-Net

Implementation of V-Net in TensorFlow for medical image segmentation.

LifangHe/Vertebra-Landmark-Detection

[ISBI 2020] Vertebra-Focused Landmark Detection for Scoliosis Assessment