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Gang Qu 0002
Person information
- affiliation: Tulane University, Department of Biomedical Engineering, New Orleans, LA, USA
Other persons with the same name
- Gang Qu — disambiguation page
- Gang Qu 0001
— University of Maryland, Department of Electrical and Computer Engineering, Institute for Systems Research, College Park, MD, USA (and 1 more)
- Gang Qu 0003 — Dalian University of Technology, School of Management, Dalian, China
- Gang Qu 0004 — Dalian Dermatosis Hospital, China
- Gang Qu 0005 — Westlake University, School of Engineering, Hangzhou, China
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2020 – today
- 2025
- [i6]Faming Xu, Yiding Wang, Chen Qiao, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang:
A Deep Spatio-Temporal Architecture for Dynamic Effective Connectivity Network Analysis Based on Dynamic Causal Discovery. CoRR abs/2501.18859 (2025) - 2024
- [j12]Wei Wang, Li Xiao
, Gang Qu
, Vince D. Calhoun, Yu-Ping Wang
, Xiaoyan Sun
:
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. Medical Image Anal. 94: 103144 (2024) - [j11]Longyun Chen, Chen Qiao, Kai Ren, Gang Qu
, Vince D. Calhoun
, Julia M. Stephen
, Tony W. Wilson, Yu-Ping Wang
:
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. NeuroImage 298: 120771 (2024) - [j10]Yingying Wang
, Chen Qiao
, Gang Qu
, Vince D. Calhoun
, Julia M. Stephen
, Tony W. Wilson
, Yu-Ping Wang
:
A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development. IEEE Trans. Biomed. Eng. 71(12): 3390-3401 (2024) - [j9]Gang Qu
, Anton Orlichenko
, Junqi Wang
, Gemeng Zhang
, Li Xiao
, Kun Zhang
, Tony W. Wilson
, Julia M. Stephen
, Vince D. Calhoun
, Yu-Ping Wang
:
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Trans. Medical Imaging 43(4): 1568-1578 (2024) - [i5]Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang:
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. CoRR abs/2401.10348 (2024) - [i4]Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang:
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. CoRR abs/2404.00144 (2024) - [i3]Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong-Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. CoRR abs/2405.07977 (2024) - [i2]Gang Qu, Ziyu Zhou, Vince D. Calhoun, Aiying Zhang, Yu-Ping Wang:
Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks. CoRR abs/2408.14254 (2024) - 2023
- [j8]Junqi Wang
, Hailong Li
, Gang Qu
, Kim M. Cecil
, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis. Medical Image Anal. 87: 102828 (2023) - [j7]Anton Orlichenko
, Gang Qu
, Gemeng Zhang
, Binish Patel
, Tony W. Wilson
, Julia M. Stephen
, Vince D. Calhoun
, Yu-Ping Wang
:
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction. IEEE Trans. Biomed. Eng. 70(6): 1979-1989 (2023) - 2022
- [j6]Weizheng Yan
, Gang Qu
, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui
, Vince D. Calhoun
:
Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. 39(2): 87-98 (2022) - [j5]Gang Qu
, Wenxing Hu
, Li Xiao
, Junqi Wang
, Yuntong Bai
, Beenish Patel, Kun Zhang
, Yu-Ping Wang
:
Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Trans. Biomed. Eng. 69(5): 1696-1706 (2022) - [j4]Li Xiao
, Biao Cai
, Gang Qu
, Gemeng Zhang
, Julia M. Stephen
, Tony W. Wilson
, Vince D. Calhoun
, Yu-Ping Wang
:
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies. IEEE Trans. Biomed. Eng. 69(10): 3039-3050 (2022) - [c2]Anton Orlichenko, Gang Qu
, Yu-Ping Wang:
Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - 2021
- [j3]Gang Qu
, Li Xiao
, Wenxing Hu
, Junqi Wang
, Kun Zhang
, Vince D. Calhoun
, Yu-Ping Wang
:
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Trans. Biomed. Eng. 68(12): 3564-3573 (2021) - [j2]Wenxing Hu
, Xianghe Meng, Yuntong Bai
, Aiying Zhang
, Gang Qu
, Biao Cai
, Gemeng Zhang
, Tony W. Wilson
, Julia M. Stephen
, Vince D. Calhoun
, Yu-Ping Wang
:
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. IEEE Trans. Medical Imaging 40(5): 1474-1483 (2021) - [i1]Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang:
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. CoRR abs/2101.08316 (2021) - 2020
- [j1]Xiaoshuang Shi
, Hai Su, Fuyong Xing
, Yun Liang, Gang Qu
, Lin Yang:
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. Medical Image Anal. 60 (2020) - [c1]Gang Qu
, Wenxing Hu, Li Xiao, Yu-Ping Wang:
A graph deep learning model for the classification of groups with different IQ using resting state fMRI. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170A
Coauthor Index

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