Lifang He (LifangHe)

LifangHe

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Company:University of Pennsylvania

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Lifang He's repositories

BrainGNN_Pytorch

A preliminary implementation of BrainGNN

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awesome-graph-explainability-papers

Papers about explainability of GNNs

AndysBrainBook

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

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awesome-neural-ode

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

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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

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BrainGB

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

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brainiak-aperture

BrainIAK Aperture submission

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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.

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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.

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covid19.MIScnn

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

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cycle-diffusion

[ICCV 2023] A latent space for stochastic diffusion models

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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.

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EEG-DL

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

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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

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GANs-for-Medical-Data

Code to run experiments generating synthetic time series medical data

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generic-expression-patterns

Distinguishing between generic and experiment-specific gene expression signals.

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graph-attribution

Codebase for Evaluating Attribution for Graph Neural Networks.

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GVAED

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

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jmmlrc

Code for Joint Multi-Modal Longitudinal Regression and Classification

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kGCN

A graph-based deep learning framework for life science

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lassonet

Feature selection in neural networks

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m3ae_public

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

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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sCCA

Sparse Canonical Correlation Analysis (sCCA)

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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.

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TransformerCVAE

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

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voxelmorph

Unsupervised Learning for Image Registration

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