mxliu

ACTION-Software-for-Functional-MRI-Analysis

Open-Source Python Software for Functional MRI Analysis

DomainATM-Domain-Adaptation-Toolbox-for-Medical-Data-Analysis

DomainATM: Domain Adaptation Toolbox for Medical Data Analysis. arXiv:2209.11890, 2022.

Joint-MRI-Denoising-and-Motion-Artifact-Correction

Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI

Unsupervised-Contrastive-Graph-Learning

Attention-Guided-Autoencoder-for-MRI-based-Disease-Progression-Prediction

Brain-Modularity-Prior-Modeling-for-fMRI-Analysis

GraphDiffusionAugmentation

MDGL

Multi-Scale Dynamic Graph Learning for Brain Disorder Detection with Functional MRI

Multi-Scale-Graph-Representation-Learning-for-fMRI-Analysis

Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI. Frontiers in Neuroinformatics, 15: 802305, 2021.

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Triplet-Constrained-Deep-Hashing

The source code of the TCDH

Unpaired-Volumetric-MRI-Harmonization-with-Conditional-Latent-Diffusion

Official Repository for paper Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion

Augmentation-based-Unsupervised-Functional-MRI-Adaptation

Brain-anatomy-prior-modeling

COVID-US

Open benchmark dataset of COVID-19 related ultrasound imaging data, curated and systematically validated — Ensemble de données de référence ouvert d'imagerie échographique liées à la COVID-19, organisé et systématiquement validé

Disease-image-specific-Learning-for-Diagnosis-oriented-Neuroimage-Synthesis

Functional-Imaging-Constrained-Diffusion-for-Brain-MRI-to-PET-Synthesis

Functional-MRI-Adaptation-with-Attention-Graph-Convolution-Network

Resting-State Functional MRI Adaptation with Attention Graph Convolution Network for Brain Disorder Identification. Brain Sciences. 12 (10): 1413, 2022.

Graph-Augmentation-Guided-Federated-Knowledge-Distillation

The source code for GAFD framework

graph-data-augmentation-papers

A curated list of graph data augmentation papers.

Hybrid-Multimodality-Multi-task-Learning

LLDprogression

MRI-Harmonization-via-Disentangled-Latent-Energy-Based-Style-Translation

Project Repository for paper Disentangled Latent Energy-based Style Translation

Multi-Scale-Dynamic-Graph-Learning

Multi-Site-fMRI-Hamonization-via-Collaborative-Learning

Addressing Multi-Site Functional MRI Heterogeneity through Dual-Expert Collaborative Learning for Brain Disease Identification

Segmentation-enhanced-Multi-scale-Deep-Hashing

Source-free-fMRI-Domain-Adaptation

Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis

Specificity-Preserving-Federated-Graph-Learning

Spectrum-based-Image-Level-MRI-Harmonization

Fast Image-Level MRI Harmonization via Spectrum Analysis. The 13th International Workshop on Machine Learning in Medical Imaging (MLMI 2022), Singapore, September 18, 2022.

UFANet