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    Chapter and Conference Paper

    Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer

    Brain large-scale dynamics is constrained by the heterogeneity of intrinsic anatomical substrate. Little is known how the spatio-temporal dynamics adapt for the heterogeneous structural connectivity (SC). Mode...

    Chongyue Zhao, Liang Zhan, Paul M. Thompson in Medical Image Computing and Computer Assis… (2022)

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    Chapter and Conference Paper

    Predicting Spatio-Temporal Human Brain Response Using fMRI

    The transformation and transmission of brain stimuli reflect the dynamical brain activity in space and time. Compared with functional magnetic resonance imaging (fMRI), magneto- or electroencephalography (M/EE...

    Chongyue Zhao, Liang Zhan, Paul M. Thompson in Medical Image Computing and Computer Assis… (2022)

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    Chapter and Conference Paper

    Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior

    Understanding the intrinsic patterns of human brain is important to make inferences about the mind and brain-behavior association. Electrophysiological methods (i.e. MEG/EEG) provide direct measures of neural ...

    Chongyue Zhao, Liang Zhan, Paul M. Thompson in Medical Image Computing and Computer Assis… (2022)

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    Chapter and Conference Paper

    A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data

    Function magnetic resonance imaging (fMRI) data are typically contaminated by noise introduced by head motion, physiological noise, and thermal noise. To mitigate noise artifact in fMRI data, a variety of deno...

    Chongyue Zhao, Hongming Li, Zhicheng Jiao in Medical Image Computing and Computer Assis… (2020)