Open-Source Code

Note: All the code and toolbox developed by our lab can also be found online: GitHub

2024

  • Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. IEEE Transactions on Biomedical Engineering, 2024. [Download]
  • Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI. Medical Image Analysis, 94: 103135, 2024. [Download]
  • Triplet-Constrained Deep Hashing for Chest X-Ray Image Retrieval in COVID-19 Assessment. Neural Networks, 173:  106182, 2024. [Download]
  • Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification. Neural Networks, 169: 584-596, 2024. [Download]

2023

  • DomainATM: Domain Adaptation Toolbox for Medical Data Analysis. NeuroImage, 268: 119863, 2023. [Download via NITRC]
  • Unsupervised Cross-Domain Functional MRI Adaptation for Automated Major Depressive Disorder Identification. Medical Image Analysis, 84: 102707, 2023. [Download][API][Download via NITRC]
  • Addressing Multi-Site Functional MRI Heterogeneity through Dual-Expert Collaborative Learning for Brain Disease Identification. Human Brain Mapping, 44(11): 4256-4271, 2023. [Download]
  • Unsupervised Contrastive Graph Learning for Resting-State Functional MRI Analysis and Brain Disorder Detection. Human Brain Mapping, 2023.  [Download]
  • Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI. arXiv:2212.12810, 2022. [Download]
  • Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI. IEEE Journal of Biomedical and Health Informatics, 27(6): 2980-2989, 2023. [Download] 
  • Multi-Scale Dynamic Graph Learning for Brain Disorder Detection with Functional MRI. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31: 3501-3512, 2023. [Download]

2022

  • Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis with Incomplete Multi-Modality Data. IEEE Transactions on Pattern Recognition and Machine Intelligence, 44(10): 6839 – 6853, 2022. [Download]
  • Assessing Clinical Progression from Subjective Cognitive Decline to Mild Cognitive Impairment with Incomplete Multi-modal Neuroimages. Medical Image Analysis, 2022. [Download]
  • Multi-Site Clustering and Nested Feature Extraction for Identifying Autism Spectrum Disorder with Resting-State fMRI. Medical Image Analysis, 2022. [Download]

2021

  • Multi-Site MRI Harmonization via Attention-Guided Deep Domain Adaptation for Brain Disorder Identification. Medical Image Analysis, 2021. [Download]
  • Modeling Dynamic Characteristics of Brain Functional Connectivity Networks using Resting-State Functional MRI. Medical Image Analysis, 2021. [Download]
  • Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack. Medical Image Analysis, 2021. [Download]
  • Estimating Sparse Functional Connectivity Networks via Hyperparameter-Free Learning Model. Artificial Intelligence in Medicine, 2021. [Download]
  • Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification. Frontiers in Neuroscience, 15: 720909, 2021. [Download]
  • High-Order Laplacian Regularized Low-Rank Representation for Multimodal Dementia Diagnosis. Frontiers in Neuroscience, 2021. [Download]
  • A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders using Functional or Structural Connectivity. IEEE TMI, 2021. [Download]

2020

  • Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE TBME, 2020. [Download]
  • Designing Weighted Correlation Kernels in Convolutional Neural Networks for Functional Connectivity based Brain Disease Diagnosis. Medical Image Analysis, 2020 [Download].
  • Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Disease Identification. IEEE TPAMI, 2020. [Download]
  • Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. MICCAI, 2020. [Download]

2019

  • Weakly-supervised Deep Network for Joint Classification and Regression. IEEE TCYB, 2019. [Download]

2018

  • Cycle-consistent GAN for Synthesizing Incomplete Multi-modal Neuroimages. MICCAI, 2018. [Download]
  • Landmark-based Multi-instance Learning for Brain Disease Identification. Medical Image Analysis, 2018. [Download]
  • Ordinal Pattern Descriptor for Brain Functional Connectivity Networks. IEEE TMI, 2018. [Download]
  • Multi-hypergraph Learning with Incomplete Multi-modality Data. IEEE JBHI, 2018. [Download]
  • Anatomical Landmark-based Feature Learning for Structural MRIs. IEEE JBHI, 2018. [Download]

2017

  • View-aligned Hypergraph Learning with Incomplete Multi-modality Data. Medical Image Analysis, 2017. [Download]
  • Effective Distance based Sparse Feature Selection. Neurocomputing, 2017. [Download]

2016

  • Joint Binary Classifier Learning with Error Correcting Output Code (ECOC), IEEE TPAMI, 2016. [Download]
  • Relationship-induced Multi-template Learning for Brain Disease Diagnosis. IEEE TMI, 2016. [Download]
  • Pairwise Constraint Guided Sparse Learning for Feature Selection. IEEE TCYB, 2016. [Download]
  • Inherent Structure based Multi-view Learning with Multi-template Representation. IEEE TBME, 2016. [Download]

2015

  • View-centralized Multi-view Learning for Disease Diagnosis. Human Brain Mapping, 2015. [Download]

2014

  • Two-stage Cost-sensitive Learning for Feature Selection. IEEE TR, 2014. [Download]
  • Attribute Relation Learning for Zero-shot Classification. Neurocomputing, 2014. [Download]
  • Sparsity Score for Feature Selection. Intel. J. PRAI, 2014. [Download]