| 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 | 79 | 2020 |
| 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 | 37 | 2020 |
| 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 | 14 | 2022 |
| Identification of homogeneous subgroups from resting-state fMRI data H Yang, T Vu, Q Long, V Calhoun, T Adali Sensors 23 (6), 3264, 2023 | 11 | 2023 |
| 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 | 6 | 2019 |
| 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 | 4 | 2023 |
| Constrained independent vector analysis with reference for multi-subject fMRI analysis T Vu, F Laport, H Yang, VD Calhoun, T Adalı IEEE Transactions on Biomedical Engineering, 2024 | 3 | 2024 |
| 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 | 3 | 2024 |
| 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 | 3 | 2023 |
| 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 | 3 | 2021 |
| 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 | 2 | 2023 |
| 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 | 2 | 2020 |
| 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 | 2 | 2020 |
| POCS Augmented CycleGan for MR Image Reconstruction H Yang Temple University, 2020 | 2 | 2020 |
| 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 | 2 | 2013 |
| 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 | 1 | 2024 |
| 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 | 1 | 2023 |
| Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis B Gabrielson, H Yang, T Vu, V Calhoun, T Adali IEEE Access, 2024 | | 2024 |
| Large-Scale Independent Vector Analysis (IVA-G) via Coresets B Gabrielson, H Yang, T Vu, V Calhoun, T Adali IEEE Transactions on Signal Processing, 2024 | | 2024 |
| Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool F Laport, A Dapena, T Vu, H Yang, V Calhoun, T Adali 2024 32nd European Signal Processing Conference (EUSIPCO), 802-806, 2024 | | 2024 |
Tulay AdaliDistinguished University Professor, University of Maryland, Baltimore CountyVerified email at umbc.edu
