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a-gcl

MedIA 2023

amcnn

Attention-modulated multi-branch convolutional neural networks for neonatal brain tissue segmentation

brainlm

brainmass

brainnn-pretrain

Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning''

cal

[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by YongduoSui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua

can

Context-assisted full Attention Network for brain tissue segmentation

cst

Continuous Spatiotemporal Transformer

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

eag-rs

EAG-RS: A Novel Explainability-guided ROI Selection Framework for ASD diagnosis via Inter-regional Relation Learning - PyTorch Implementation (IEEE-TMI 2023)

gate

graph-bert

Source code of Graph-Bert

hcppipelines

Processing pipelines for the HCP

hierarchical-brain-networks

Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks

hl-hgat-demo

DEMO for OHBM

learning-from-brains

Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One of the broadest neuroimaging datasets used for pre-training to date.

meshnet-pytorch

This repository contains a PyTorch implementation of MeshNet architecture. MeshNet is a volumetric convolutional neural network for image segmentation (focused on brain imaging application) based on dilated kernels [1].

musictransformer-pytorch

MusicTransformer written for MaestroV2 using the Pytorch framework for music generation

project-wiki-template

sfcnr

swift

uhf-guided_segmentation

PyTorch implementation of "Transferring Ultra-high Field Representations for Intensity-Guided Brain Segmentation of Low Field MRI"

unest

The official Pytorch implementation of UNesT