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Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.

G. Qu, A. Orlichenko, J. Wang, G. Zhang, L. Xiao, K. Zhang, T. Wilson, J. Stephen, V. Calhoun, and Y. Wang. IEEE Trans. Medical Imaging, 43 (4): 1568-1578 (April 2024)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Yue Zhang

Yan Zhang

Xianghong Zhang

Other publications of authors with the same name

Interpretable multimodal fusion networks reveal mechanisms of brain cognition.W. Hu, X. Meng, Y. Bai, A. Zhang, B. Cai, G. Zhang, T. Wilson, J. Stephen, V. Calhoun, and Y. Wang. CoRR, (2020)A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm.G. Zhang, A. Zhang, V. Calhoun, and Y. Wang. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113170X. SPIE, (2020)A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence.A. Zhang, G. Zhang, B. Cai, T. Wilson, J. Stephen, V. Calhoun, and Y. Wang. CoRR, (2020)Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM).A. Zhang, G. Zhang, B. Cai, W. Hu, L. Xiao, T. Wilson, J. Stephen, V. Calhoun, and Y. Wang. CoRR, (2020)Semi-supervised learning through adaptive Laplacian graph trimming.Z. Yue, D. Meng, J. He, and G. Zhang. Image Vis. Comput., (2017)Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study.Y. Zhang, L. Xiao, G. Zhang, B. Cai, J. Stephen, T. Wilson, V. Calhoun, and Y. Wang. IEEE J. Biomed. Health Informatics, 25 (5): 1712-1723 (2021)Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model.G. Zhang, B. Cai, A. Zhang, J. Stephen, T. Wilson, V. Calhoun, and Y. Wang. IEEE Trans. Med. Imaging, 39 (2): 488-498 (2020)Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis.P. Kassani, L. Xiao, G. Zhang, J. Stephen, T. Wilson, V. Calhoun, and Y. Wang. IEEE Trans. Medical Imaging, 39 (11): 3290-3299 (2020)Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.G. Zhang, B. Cai, A. Zhang, Z. Tu, L. Xiao, J. Stephen, T. Wilson, V. Calhoun, and Y. Wang. NeuroImage, (2022)Latent Similarity Identifies Important Functional Connections for Phenotype Prediction.A. Orlichenko, G. Qu, G. Zhang, B. Patel, T. Wilson, J. Stephen, V. Calhoun, and Y. Wang. IEEE Trans. Biomed. Eng., 70 (6): 1979-1989 (June 2023)

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Disambiguation of "Zhang, Gemeng"

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Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Yue Zhang

Yan Zhang

Xianghong Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Gemeng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Yue Zhang

Yan Zhang

Xianghong Zhang

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.