Hanlu Yang

Affiliations:
  • University of Maryland Baltimore County, MD, USA


According to our database1, Hanlu Yang authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Identification of Homogeneous Subgroups from Resting-State fMRI Data.
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

Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis.
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


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