Gang Qu
Orcid: 0000-0003-2681-0880Affiliations:
- Tulane University, Department of Biomedical Engineering, New Orleans, LA, USA
According to our database1,
Gang Qu
authored at least 13 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2024
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging, April, 2024
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.
CoRR, 2024
2023
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction.
IEEE Trans. Biomed. Eng., June, 2023
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.
Medical Image Anal., 2023
2022
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies.
IEEE Trans. Biomed. Eng., 2022
IEEE Trans. Biomed. Eng., 2022
IEEE Signal Process. Mag., 2022
Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
IEEE Trans. Medical Imaging, 2021
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng., 2021
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction.
CoRR, 2021
2020
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis.
Medical Image Anal., 2020
A graph deep learning model for the classification of groups with different IQ using resting state fMRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020