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Hanlu Yang 0001
Person information
- affiliation: University of Maryland Baltimore County, MD, USA
Other persons with the same name
- Hanlu Yang 0002 — Nanjing University of Posts and Telecommunications, College of Automation and College of Artificial Intelligence, China
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2020 – today
- 2024
- [c11]Francisco Laport, Adriana Dapena, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool. EUSIPCO 2024: 802-806 - [c10]Chunying Jia, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Fusion of Novel FMRI Features Using Independent Vector Analysis for a Multifaceted Characterization of Schizophrenia. EUSIPCO 2024: 1112-1116 - [c9]Trung Vu, Hanlu Yang, Francisco Laport, Ben Gabrielson, Vince D. Calhoun, Tülay Adali:
A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis. ICASSP 2024: 1831-1835 - [c8]Hanlu Yang, Meiby Ortiz-Bouza, Trung Vu, Francisco Laport, Vince D. Calhoun, Selin Aviyente, Tülay Adali:
Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks. ICASSP 2024: 2141-2145 - 2023
- [j2]Hanlu Yang, Trung Vu, Qunfang Long, Vince D. Calhoun, Tülay Adali:
Identification of Homogeneous Subgroups from Resting-State fMRI Data. Sensors 23(6): 3264 (2023) - [j1]Mingyu Sun, Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Francisco Laport, Vince D. Calhoun, Tülay Adali:
A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis. Sensors 23(11): 5333 (2023) - [c7]Trung Vu, Francisco Laport, Hanlu Yang, Tülay Adali:
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation. ACSSC 2023: 827-831 - [c6]Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tülay Adali:
REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS. ACSSC 2023: 1443-1447 - [c5]Francisco Laport, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis. ACSSC 2023: 1448-1452 - [c4]Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun, Tülay Adali:
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning. ICASSP 2023: 1-5 - [c3]Hanlu Yang, Fateme Ghayem, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali:
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data. ICASSP 2023: 1-5 - 2022
- [c2]Hanlu Yang, Mohammad A. B. S. Akhonda, Fateme Ghayem, Qunfang Long, Vince D. Calhoun, Tülay Adali:
Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data. ICASSP 2022: 1471-1475 - [i2]Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun, Tülay Adali:
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning. CoRR abs/2211.07374 (2022) - 2020
- [i1]Danfeng Xie, Yiran Li, Hanlu Yang, Li Bai, Lei Zhang, Ze Wang:
A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images. CoRR abs/2005.07784 (2020)
2010 – 2019
- 2019
- [c1]Danfeng Xie, Yiran Li, HanLu Yang, Donghui Song, Yuanqi Shang, Qiu Ge, Li Bai, Ze Wang:
BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks. MLMI@MICCAI 2019: 373-381
Coauthor Index
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