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Gemeng Zhang

Orcid: 0000-0001-6223-6092

According to our database¹, Gemeng Zhang authored at least 16 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

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Anton Orlichenko

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Julia M. Stephen

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Vince D. Calhoun

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IEEE Trans. Medical Imaging, April, 2024

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.

[BibT_eX]

[DOI]

,

Anton Orlichenko

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CoRR, 2024

2023

Latent Similarity Identifies Important Functional Connections for Phenotype Prediction.

[BibT_eX]

[DOI]

Anton Orlichenko

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Julia M. Stephen

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Vince D. Calhoun

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IEEE Trans. Biomed. Eng., June, 2023

2022

Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies.

[BibT_eX]

[DOI]

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Julia M. Stephen

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Vince D. Calhoun

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IEEE Trans. Biomed. Eng., 2022

Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.

[BibT_eX]

[DOI]

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Julia M. Stephen

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Vince D. Calhoun

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NeuroImage, 2022

2021

Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition.

[BibT_eX]

[DOI]

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Julia M. Stephen

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Vince D. Calhoun

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IEEE Trans. Medical Imaging, 2021

Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study.

[BibT_eX]

[DOI]

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Julia M. Stephen

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Vince D. Calhoun

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IEEE J. Biomed. Health Informatics, 2021

2020

Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model.

[BibT_eX]

[DOI]

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,

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Julia M. Stephen

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,

Vince D. Calhoun

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IEEE Trans. Medical Imaging, 2020

Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis.

[BibT_eX]

[DOI]

Peyman Hosseinzadeh Kassani

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,

Julia M. Stephen

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Vince D. Calhoun

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IEEE Trans. Medical Imaging, 2020

Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI.

[BibT_eX]

[DOI]

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Vince D. Calhoun

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NeuroImage, 2020

A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence.

[BibT_eX]

[DOI]

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,

Julia M. Stephen

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Vince D. Calhoun

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CoRR, 2020

Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM).

[BibT_eX]

[DOI]

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,

,

,

,

,

Julia M. Stephen

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Vince D. Calhoun

,

CoRR, 2020

Interpretable multimodal fusion networks reveal mechanisms of brain cognition.

[BibT_eX]

[DOI]

,

,

,

,

,

,

,

Julia M. Stephen

,

Vince D. Calhoun

,

CoRR, 2020

A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm.

[BibT_eX]

[DOI]

,

,

Vince D. Calhoun

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Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019

Capturing Dynamic Connectivity From Resting State fMRI Using Time-Varying Graphical Lasso.

[BibT_eX]

[DOI]

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Julia M. Stephen

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,

Vince D. Calhoun

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IEEE Trans. Biomed. Eng., 2019

2017

Semi-supervised learning through adaptive Laplacian graph trimming.

[BibT_eX]

[DOI]

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Image Vis. Comput., 2017

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