Hanlu Yang
Affiliations:- University of Maryland Baltimore County, MD, USA
According to our database1,
Hanlu Yang
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis.
IEEE Trans. Biomed. Eng., December, 2024
Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024
A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2024
Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool.
Proceedings of the 32nd European Signal Processing Conference, 2024
Fusion of Novel FMRI Features Using Independent Vector Analysis for a Multifaceted Characterization of Schizophrenia.
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Sensors, March, 2023
A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis.
Sensors, 2023
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data.
Proceedings of the IEEE International Conference on Acoustics, 2023
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data.
Proceedings of the IEEE International Conference on Acoustics, 2022
2020
A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images.
CoRR, 2020
2019
BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019