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Hanlu Yang
Hanlu Yang
Ph.D. Candidate in Electrical Engineering at University of Maryland, Baltimore County
Verified email at umbc.edu
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Year
Denoising arterial spin labeling perfusion MRI with deep machine learning
D Xie, Y Li, H Yang, L Bai, T Wang, F Zhou, L Zhang, Z Wang
Magnetic resonance imaging 68, 95-105, 2020
722020
Accelerating GluCEST imaging using deep learning for B0 correction
Y Li, D Xie, A Cember, RPR Nanga, H Yang, D Kumar, H Hariharan, L Bai, ...
Magnetic resonance in medicine 84 (4), 1724-1733, 2020
292020
Independent vector analysis based subgroup identification from multisubject fMRI data
H Yang, MABS Akhonda, F Ghayem, Q Long, VD Calhoun, T Adali
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
92022
Bold fMRI-based brain perfusion prediction using deep dilated wide activation networks
D Xie, Y Li, HL Yang, D Song, Y Shang, Q Ge, L Bai, Z Wang
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
62019
Identification of Homogeneous Subgroups from Resting-State fMRI Data
H Yang, T Vu, Q Long, V Calhoun, T Adali
Sensors 23 (6), 3264, 2023
52023
A scalable approach to independent vector analysis by shared subspace separation for multi-subject fMRI analysis
M Sun, B Gabrielson, MABS Akhonda, H Yang, F Laport, V Calhoun, ...
Sensors 23 (11), 5333, 2023
32023
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data
H Yang, F Ghayem, B Gabrielson, MABS Akhonda, VD Calhoun, T Adali
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
22023
New interpretable patterns and discriminative features from brain functional network connectivity using dictionary learning
F Ghayem, H Yang, F Kantar, SJ Kim, VD Calhoun, T Adali
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
22023
A learning-from-noise dilated wide activation network for denoising arterial spin labeling (ASL) perfusion images
D Xie, Y Li, H Yang, L Bai, L Zhang, Z Wang
arXiv preprint arXiv:2005.07784, 2020
22020
Estimating cerebral blood flow from BOLD signal using deep dilated wide activation networks
D Xie, Y Li, H Yang, L Bai, D Song, Y Shang, Q Ge, Z Wang
Proceedings of the 2020 ISMRM & SMRT Virtual Conference & Exhibition, 8-14, 2020
22020
Experimental research on the levitation support way of ultrasonic thrust bearing
YG Song, ZQ Fan, XD Sun, LL Wang, FJ Tian, H Cai, XL Wang, HL Yang, ...
Applied Mechanics and Materials 423, 1571-1576, 2013
22013
Constrained Independent Vector Analysis with Reference for Multi-Subject fMRI Analysis
T Vu, F Laport, H Yang, VD Calhoun, T Adali
arXiv preprint arXiv:2311.05049, 2023
12023
POCS-Augmented CycleGAN for MR Image Reconstruction
Y Li, H Yang, D Xie, D Dreizin, F Zhou, Z Wang
Applied Sciences 12 (1), 114, 2021
12021
POCS Augmented CycleGan for MR Image Reconstruction
H Yang
Temple University, 2020
12020
Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks
H Yang, M Ortiz-Bouza, T Vu, F Laport, VD Calhoun, S Aviyente, T Adali
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis
T Vu, H Yang, F Laport, B Gabrielson, VD Calhoun, T Adalı
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis
F Laport, T Vu, H Yang, V Calhoun, T Adali
2023 57th Asilomar Conference on Signals, Systems, and Computers, 1448-1452, 2023
2023
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation
T Vu, F Laport, H Yang, T Adali
2023 57th Asilomar Conference on Signals, Systems, and Computers, 827-831, 2023
2023
REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS
H Yang, B Gabrielson, VD Calhoun, T Adali
2023 57th Asilomar Conference on Signals, Systems, and Computers, 1443-1447, 2023
2023
SPECIAL ISSUE ON MULTIMODAL DATA FUSION
S Nawaz, A Calefati, MK Janjua, MU Anwaar, I Gallo, T Adali, M Akhonda, ...
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