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- | **Article** | **Year** | **Github Link/ Repo** | **DA/DG** | **Method** | **Dataset** | **Architecture** | **Task** | **Domain** |
- | :------------------------------------------------------------------------------------------------------------------------: | :------: | :-----------------------------------------------------------------------: | :-------: | :---------------------------------------------------: | :------------: | :---------------------: | :-------------------------------------: | :------------------: |
- | 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](https://github.com/kondratevakate/fmri-fader-net) | 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](http://github.com/jhonP-Li/ASD_GP_GCN) | 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](https://github.com/xxlya/Fed_ABIDE) | 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](https://github.com/sz144/DawfMRI) | 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](https://github.com/ashishpradhan1008/PredictingASDbyCrossSiteEval) | DA | Feature Selection | ABIDE | Non-Deep | Identify Autism Spectrum Disorders | Site |
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