Shu Zhang

发表

Assessing Fine-Granularity Structural and Functional Connectivity in Children With Attention Deficit Hyperactivity Disorder

Xi Jiang, Q. Cao, Yufeng Wang, 2020, Frontiers in Human Neuroscience.

Cortical 3-hinges could serve as hubs in cortico-cortical connective network

Xiaoping P. Hu, Xi Jiang, Lei Guo, 2020, Brain imaging and behavior.

Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs)

J. Lv, Xi Jiang, Tianming Liu, 2022, Medical Image Anal..

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

Y. Li, J. Lv, Yimin Hou, 2020, IEEE transactions on neural networks and learning systems.

How the brain detects invariance and inhibits variance during category induction

Hong Li, Fuhong Li, Heming Gao, 2016, Neuroscience Letters.

A hybrid learning framework for fine-grained interpretation of brain spatiotemporal patterns during naturalistic functional magnetic resonance imaging

Xi Jiang, Tianming Liu, Shijie Zhao, 2022, Frontiers in Human Neuroscience.

Meta-Analysis of Functional Roles of DICCCOLs

Xi Jiang, Lei Guo, Junwei Han, 2012, Neuroinformatics.

Supervised Brain Network Learning Based on Deep Recurrent Neural Networks

Jinglei Lv, Junwei Han, Shijie Zhao, 2020, IEEE Access.

Predicting Movie Trailer Viewer's “Like/Dislike” via Learned Shot Editing Patterns

Xintao Hu, Lei Guo, Tianming Liu, 2016, IEEE Transactions on Affective Computing.

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data

Jinglei Lv, Dajiang Zhu, Lei Guo, 2019, IEEE Transactions on Biomedical Engineering.

Connectome-scale functional intrinsic connectivity networks in macaques

Wei Zhang, Xi Jiang, Tianming Liu, 2017, Neuroscience.

Joint representation of consistent structural and functional profiles for identification of common cortical landmarks

Dinggang Shen, Yu Zhao, Tianming Liu, 2017, Brain Imaging and Behavior.

Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior

K. Kendrick, Xi Jiang, Tianming Liu, 2021, Psychoradiology.

Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder

Junwei Han, Yu Zhao, Jinglei Lv, 2016, NeuroImage: Clinical.

Connectome-scale Groupwise Consistent Resting-state Network Analysis in Autism Spectrum Disorder

Jinglei Lv, Tuo Zhang, Lei Guo, 2016 .

3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls

Yu Zhao, Tianming Liu, Shu Zhang, 2018, MICCAI.

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks

Wei Zhang, Yu Zhao, Xintao Hu, 2018, IEEE Transactions on Biomedical Engineering.

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs

Xiang Li, Wei Zhang, Yu Zhao, 2017, NeuroImage.

Sparse representation of whole-brain fMRI signals for identification of functional networks

Heng Huang, Jinglei Lv, Tuo Zhang, 2015, Medical Image Anal..

Discovering hierarchical common brain networks via multimodal deep belief network

Heng Huang, Dajiang Zhu, Tianming Liu, 2019, Medical Image Anal..

Characterization of U-shape streamline fibers: Methods and applications

Dinggang Shen, Tuo Zhang, Kaiming Li, 2014, Medical Image Anal..

Prompt Engineering for Healthcare: Methodologies and Applications

Xiang Li, Tianming Liu, Xiang Li, 2023, ArXiv.

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

Lei Guo, Tianming Liu, Xiang Li, 2023, ArXiv.

Joint Analysis of Functional and Structural Connectomes Between Preterm and Term Infant Brains via Canonical Correlation Analysis With Locality Preserving Projection

Xi Jiang, Xintao Hu, Tuo Zhang, 2021, Frontiers in Neuroscience.

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

Lei Guo, Tianming Liu, Xiang Li, 2023, IEEE Transactions on Artificial Intelligence.

Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex

Wei Zhang, Jinglei Lv, Tuo Zhang, 2016, IEEE Transactions on Biomedical Engineering.

A DICCCOL-based K-nearest landmark detection method for identifying common and consistent 3-hinge gyral folding landmarks

Xi Jiang, Tuo Zhang, Shu Zhang, 2022, Chaos, Solitons & Fractals.

Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks

Tuo Zhang, Keith M. Kendrick, Xi Jiang, 2021, MICCAI.

A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks

Tuo Zhang, Xi Jiang, Tianming Liu, 2021, PRCV.

Modeling Functional Dynamics of Cortical Gyri and Sulci

Wei Zhang, Jinglei Lv, Tuo Zhang, 2016, MICCAI.

Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex

Jinglei Lv, Tuo Zhang, Lei Guo, 2015, Human brain mapping.

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function

Jieping Ye, Jinglei Lv, Tuo Zhang, 2015, IEEE Transactions on Biomedical Engineering.

Signal sampling for efficient sparse representation of resting state FMRI data

Junwei Han, Jinglei Lv, Tianming Liu, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

The Cerebral Cortex is Bisectionally Segregated into Two Fundamentally Different Functional Units of Gyri and Sulci.

Xiao Li, Lin Zhao, Tuo Zhang, 2018, Cerebral cortex.

Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity

Dajiang Zhu, Tianming Liu, Shu Zhang, 2018, MICCAI.

Exploring human brain activation via nested sparse coding and functional operators

Lei Guo, Tianming Liu, Xiang Li, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Review of Large Vision Models and Visual Prompt Engineering

Xi Jiang, Tianming Liu, Xiang Li, 2023, Meta-Radiology.

Editorial: Computational modeling methods for naturalistic neuroimaging data

Huan Liu, Yudan Ren, Shu Zhang, 2023, Frontiers in Computational Neuroscience.

Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network

Tianming Liu, Shijie Zhao, Shu Zhang, 2023, Neural Networks.

Deep Feature Mining via the Attention-Based Bidirectional Long Short Term Memory Graph Convolutional Neural Network for Human Motor Imagery Recognition

Yimin Hou, Shu Zhang, Shuyue Jia, 2022, Frontiers in Bioengineering and Biotechnology.

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition

Y. Li, Yimin Hou, Rui Zeng, 2020, ArXiv.

Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations

Jinglei Lv, Xi Jiang, Xiang Li, 2016, Brain Imaging and Behavior.

Learning fMRI-guided predictor of video shot changes

Jinglei Lv, Tuo Zhang, Xintao Hu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Exploring functional brain dynamics via a Bayesian connectivity change point model

Jinglei Lv, Dajiang Zhu, Tianming Liu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data

Jinglei Lv, Tuo Zhang, Dajiang Zhu, 2013, MICCAI.

Activated cliques: Network-based activation detection in task-based FMRI

Jinglei Lv, Lei Guo, Tianming Liu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Extendable supervised dictionary learning for exploring diverse and concurrent brain activities in task-based fMRI

Xi Jiang, Lei Guo, Junwei Han, 2017, Brain Imaging and Behavior.

Evaluating Large Language Models for Radiology Natural Language Processing

W. Liu, Quanzheng Li, Hongtu Zhu, 2023, ArXiv.

Deep Variational Autoencoder for Mapping Functional Brain Networks

Tianming Liu, Hongtao Liang, Fangfei Ge, 2020, IEEE Transactions on Cognitive and Developmental Systems.

Joint representation of connectome-scale structural and functional profiles for identification of consistent cortical landmarks in macaque brain

Yu Zhao, Jinglei Lv, Tianming Liu, 2017, Brain Imaging and Behavior.

Joint representation of consistent structural and functional profiles for identification of common cortical landmarks

D. Shen, Yu Zhao, Xi Jiang, 2018, Brain Imaging and Behavior.

Group-wise consistent cortical parcellation based on connectional profiles

Tuo Zhang, Dajiang Zhu, Lei Guo, 2016, Medical Image Anal..

Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning

Jinglei Lv, Lei Guo, Tianming Liu, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder

Tianming Liu, Qinglin Dong, Ning Qiang, 2021, Journal of neural engineering.

Denser Growing Fiber Connections Induce 3-hinge Gyral Folding

Tuo Zhang, Lei Guo, Xiaoping Hu, 2018, Cerebral cortex.

Predicting cortical 3-hinge locations via structural connective features

Lei Du, Xiao Li, Tuo Zhang, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex

Lei Guo, Tianming Liu, Xi Jiang, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Joint representation of cortical folding, structural connectivity and functional networks

Xiao Li, Tuo Zhang, Lei Guo, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

FMRI data classification based on hybrid temporal and spatial sparse representation

Huan Liu, Xintao Hu, Lei Guo, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning

Huan Liu, Xintao Hu, Tianming Liu, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function

Jieping Ye, Xi Jiang, Lei Guo, 2015, IEEE Transactions on Biomedical Engineering.

Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex

Xi Jiang, Lei Guo, Tianming Liu, 2015, Human brain mapping.

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci

Yu Zhao, Huan Liu, Lei Guo, 2019, IEEE Transactions on Biomedical Engineering.

Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autism.

Ning Qiang, Shu Zhang, Bao Ge, 2023, Cerebral cortex.

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals

Y. Li, Yimin Hou, Shu Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA

Lei Du, Tuo Zhang, Xintao Hu, 2020, MLMI@MICCAI.

Connectome-scale functional intrinsic connectivity networks in macaques

Xi Jiang, Tianming Liu, B. Howell, 2017, Neuroscience.

Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations

Xi Jiang, Lei Guo, Tianming Liu, 2015, Brain Imaging and Behavior.

Meta-Analysis of Functional Roles of DICCCOLs

Xiang Yu, Tuo Zhang, Xintao Hu, 2012, Neuroinformatics.