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Must-read papers and resources related to causal inference and machine (deep) learning
glaucoma dataset - Labelled data for fundus images.
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Updated Sep 11, 2020
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)
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…
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
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
Code for the paper "Contrastive learning for regression in multi-site brain age prediction" | ISBI 2023 https://doi.org/10.1109/ISBI53787.2023.10230733
MRtrix scripts to generate dense weighted structural connectomes from the Human Connectome Project "minimally pre-processed" diffusion MRI data
Takes data from HCP_1200 and produces structural/functional pairs.