M3NetFlow: a novel multi-scale multi-hop multi-omics graph AI model for omics data integration and interpretation

A Unified Graph Language Framework for Omic Graph Learning

Optimal Sparse Survival Trees

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

🎯🎓 Generalized Targeted Learning Framework

Must-read papers and resources related to causal inference and machine (deep) learning

glaucoma dataset - Labelled data for fundus images.

A CNN model to classify Alzeimer's disease in a patient using DenseNet-169 pretrained keras weights

# AD-Prediction Convolutional Neural Networks for Alzheimer's Disease Prediction Using Brain MRI Image ## Abstract Alzheimers disease (AD) is characterized by severe memory loss and cognitive impai…

3D brain image preprocessing and training (coded when I was a sophomore)

Convolutional Neural Network trained for age prediction using a large (n=11,729) set of MRI scans from a highly diversified cohort spanning different studies, scanners, ages, ethnicities and geogra…

Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Must-read papers on graph neural networks (GNN)

TGN: Temporal Graph Networks

PyTorch implementation of DGCNN

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

Workflows and interfaces for neuroimaging packages

Google Research

[npj Digital Medicine] "Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling" by Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei W…

Mutual-Guided Cross-Modality Transformer

EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts

Using KANs and comparing them to symbolic regression

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations, ICCV 2021