Yixin Ji

Causal-Augmented Source-Free Domain Adaptation With Scale-Free Transformer for Schizophrenia Classification.

Journal: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

Published: March 23, 2026

Causal-augmented Source-free Domain Adaptation with Scale-free Transformer for Schizophrenia Classification.

Journal: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

Published: March 23, 2026

Prototypical Representation Learning for Multi-Site Domain Generalization in Schizophrenia Diagnosis.

Journal: IEEE transactions on bio-medical engineering

Published: January 28, 2026

MMM-DBNF: multi-atlas, multi-modal and multi-site dynamic brain network fusion for the diagnosis of schizophrenia.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Site Common Information-Guided Site-to-Individual-to-Global Multi-View GCN for Psychiatric Diagnosis.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders.

Journal: Bioinformatics (Oxford, England)

Published: June 13, 2025

Integration and Segregation of Dynamic Functional Connectivity States for Mild Cognitive Impairment Revealed by Graph Theory Indicators.

Journal: Contrast media & molecular imaging

Published: May 19, 2021

Constructing Dynamic Brain Functional Networks via Hyper-Graph Manifold Regularization for Mild Cognitive Impairment Classification.

Journal: Frontiers in neuroscience

Published: February 18, 2021

Constructing Dynamic Functional Networks via Weighted Regularization and Tensor Low-Rank Approximation for Early Mild Cognitive Impairment Classification.

Journal: Frontiers in cell and developmental biology

Published: September 26, 2020

Causal-Augmented Source-Free Domain Adaptation With Scale-Free Transformer for Schizophrenia Classification.

Causal-Augmented Source-Free Domain Adaptation With Scale-Free Transformer for Schizophrenia Classification.

Causal-augmented Source-free Domain Adaptation with Scale-free Transformer for Schizophrenia Classification.

Causal-augmented Source-free Domain Adaptation with Scale-free Transformer for Schizophrenia Classification.

Prototypical Representation Learning for Multi-Site Domain Generalization in Schizophrenia Diagnosis.

Prototypical Representation Learning for Multi-Site Domain Generalization in Schizophrenia Diagnosis.

MMM-DBNF: multi-atlas, multi-modal and multi-site dynamic brain network fusion for the diagnosis of schizophrenia.

MMM-DBNF: multi-atlas, multi-modal and multi-site dynamic brain network fusion for the diagnosis of schizophrenia.

Site Common Information-Guided Site-to-Individual-to-Global Multi-View GCN for Psychiatric Diagnosis.

Site Common Information-Guided Site-to-Individual-to-Global Multi-View GCN for Psychiatric Diagnosis.

Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders.

Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders.

Joint multi-site domain adaptation and multi-modality feature selection for the diagnosis of psychiatric disorders.

Joint multi-site domain adaptation and multi-modality feature selection for the diagnosis of psychiatric disorders.

Identifying psychosis subtypes use individualized covariance structural differential networks and multi-site clustering.

Identifying psychosis subtypes use individualized covariance structural differential networks and multi-site clustering.

Integration and Segregation of Dynamic Functional Connectivity States for Mild Cognitive Impairment Revealed by Graph Theory Indicators.

Integration and Segregation of Dynamic Functional Connectivity States for Mild Cognitive Impairment Revealed by Graph Theory Indicators.

Constructing Dynamic Brain Functional Networks via Hyper-Graph Manifold Regularization for Mild Cognitive Impairment Classification.

Constructing Dynamic Brain Functional Networks via Hyper-Graph Manifold Regularization for Mild Cognitive Impairment Classification.

Constructing Dynamic Functional Networks via Weighted Regularization and Tensor Low-Rank Approximation for Early Mild Cognitive Impairment Classification.

Constructing Dynamic Functional Networks via Weighted Regularization and Tensor Low-Rank Approximation for Early Mild Cognitive Impairment Classification.