Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI |
2022 |
- |
DA |
Domain Alignment |
ABIDE |
ANN |
Identify Autism Spectrum Disorders |
Site |
Domain adaptation based on rough adjoint inconsistency and optimal transport for identifying autistic patients |
2022 |
- |
DA |
Domain Alignment |
ABIDE |
Non-Deep |
Identify Autism Spectrum Disorders |
Site |
Privacy preserving multi-source domain adaptation for medical data |
2022 |
- |
DA |
Domain Alignment - Pseudo-label Training |
ABIDE - Others |
ANN |
Identify Autism Spectrum Disorders |
Site |
Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data |
2021 |
- |
DG |
Architecture Embedded |
ABIDE |
Graph-based |
Identify Autism Spectrum Disorders |
Site |
A Deep Learning Approach to Predict Autism Spectrum Disorder Using Multisite Resting-State fMRI |
2021 |
- |
DG |
Feature Selection |
ABIDE |
ANN |
Identify Autism Spectrum Disorders |
Site |
Fader Networks for domain adaptation on fMRI: ABIDE-II study |
2021 |
link |
DA |
Adversarial Feature Alignment |
ABIDE |
CNN - GAN - Autoencoder |
Identify Autism Spectrum Disorders |
Site |
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning |
2021 |
link |
DG |
Feature Selection |
ABIDE |
Graph-based |
Identify Autism Spectrum Disorders |
Site |
Domain Adaptation Using a Three-Way Decision Improves the Identification of Autism Patients from Multisite fMRI Data |
2021 |
- |
DA |
Pseudo-label Training |
ABIDE |
Non-Deep |
Identify Autism Spectrum Disorders |
Site |
Learning shared neural manifolds from multi-subject FMRI data |
2021 |
- |
DG |
Multi-source Domain Alignment - Architecture Embedded |
Others |
ANN |
Visual Perception Analysis |
Subject |
Few-shot domain-adaptive anomaly detection for cross-site brain images |
2021 |
- |
DA |
Adversarial Feature Alignment |
HCP - Others |
ANN |
Anomaly Detection of Brain Images |
Site |
Attention module improves both performance and interpretability of 4D fMRI decoding neural network |
2021 |
- |
DG |
Architecture Embedded |
HCP |
CNN - Attention |
Decoding Cognitive States |
Subject-Task-Dataset |
Graph Convolutional Networks via Low-Rank Subspace for Multi-Site rs-fMRI ASD Diagnosis |
2021 |
- |
DG |
Multi-source Domain Alignment |
ABIDE |
Graph-based |
Identify Autism Spectrum Disorders |
Site |
Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification |
2021 |
- |
DG |
Architecture Embedded |
ADNI |
CNN - RNN |
Alzheimer’s disease (AD) classification |
Subject |
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results |
2020 |
link |
DA |
Adversarial Feature Alignment |
ABIDE |
ANN |
Identify Autism Spectrum Disorders |
Site |
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation |
2020 |
- |
DA |
Instance Alignment |
ABIDE |
- |
Identify Autism Spectrum Disorders |
Site |
Modelling subject variability in the spatial and temporal characteristics of functional modes |
2020 |
- |
DG |
Architecture Embedded |
HCP |
- |
Modelling subject variability |
Subject |
Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset |
2020 |
- |
DG |
Architecture Embedded |
ADHD-200 |
CNN - Attention |
ADHD classification |
Site |
Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI |
2020 |
- |
DA |
Domain Alignment - Classifier Alignment |
ABIDE |
ANN |
Identify Autism Spectrum Disorders |
Site |
Shared Space Transfer Learning for analyzing multi-site fMRI data |
2020 |
- |
DG |
Multi-source Domain Alignment |
Others |
Non-Deep |
Decoding Cognitive States |
Site |
Decoding Brain States From fMRI Signals by Using Unsupervised Domain Adaptation |
2020 |
- |
DA |
Domain Alignment |
HCP |
CNN |
Decoding Cognitive States |
Subject |
Conditional Domain Adversarial Transfer for Robust Cross-Site ADHD Classification Using Functional MRI |
2020 |
- |
DA |
Adversarial Feature Alignment |
ADHD-200 |
ANN |
ADHD classification |
Site |
Graph-based decoding model for functional alignment of unaligned fMRI data |
2020 |
- |
DG |
Multi-source Domain Alignment - Architecture Embedded |
OpenfMRI |
- |
Decoding Cognitive States |
Subject |
Improving whole-brain neural decoding of fmri with domain adaptation |
2019 |
link |
DA |
Domain Alignment |
OpenfMRI |
ANN |
Decoding Cognitive States |
Dataset |
Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification |
2021 |
- |
DG |
Meta Learning |
ABIDE |
- |
Resting-state fMRI classification |
Site |
Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI |
2018 |
- |
DG |
Multi-source Domain Alignment - Architecture Embedded |
Others |
Non-Deep |
Schizophrenia Classification |
Site |
Predicting Autism Spectrum Disorder Using Domain-Adaptive Cross-Site Evaluation |
2018 |
link |
DA |
Feature Selection |
ABIDE |
Non-Deep |
Identify Autism Spectrum Disorders |
Site |