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2021

  • Multi-Site MRI Harmonization via Attention-Guided Deep Domain Adaptation for Brain Disorder Identification. Medical Image Analysis, 2021. [Download]
  • Assessing Clinical Progression from Subjective Cognitive Decline to Mild Cognitive Impairment with Incomplete Multi-modal Neuroimages. 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]