| Background field removal using spherical mean value filtering and Tikhonov regularization H Sun, AH Wilman Magnetic resonance in medicine 71 (3), 1151-1157, 2014 | 260 | 2014 |
| Validation of quantitative susceptibility mapping with Perls' iron staining for subcortical gray matter H Sun, AJ Walsh, RM Lebel, G Blevins, I Catz, JQ Lu, ES Johnson, ... Neuroimage 105, 486-492, 2015 | 180 | 2015 |
| A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center study X Chen, Y Tang, Y Mo, S Li, D Lin, Z Yang, Z Yang, H Sun, J Qiu, Y Liao, ... European radiology 30, 4893-4902, 2020 | 140 | 2020 |
| Quantitative susceptibility mapping using single‐shot echo‐planar imaging H Sun, AH Wilman Magnetic resonance in medicine 73 (5), 1932-1938, 2015 | 85 | 2015 |
| Quantitative susceptibility mapping using a superposed dipole inversion method: application to intracranial hemorrhage H Sun, M Kate, LC Gioia, DJ Emery, K Butcher, AH Wilman Magnetic resonance in medicine 76 (3), 781-791, 2016 | 74 | 2016 |
| Subcortical gray matter segmentation and voxel‐based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis D Cobzas, H Sun, AJ Walsh, RM Lebel, G Blevins, AH Wilman Journal of Magnetic Resonance Imaging 42 (6), 1601-1610, 2015 | 67 | 2015 |
| Quantitative susceptibility mapping for following intracranial hemorrhage H Sun, AC Klahr, M Kate, LC Gioia, DJ Emery, KS Butcher, AH Wilman Radiology 288 (3), 830-839, 2018 | 58 | 2018 |
| Extracting more for less: multi‐echo MP2RAGE for simultaneous T1‐weighted imaging, T1 mapping, mapping, SWI, and QSM from a single acquisition H Sun, JO Cleary, R Glarin, SC Kolbe, RJ Ordidge, BA Moffat, GB Pike Magnetic resonance in medicine 83 (4), 1178-1191, 2020 | 53 | 2020 |
| Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method H Sun, Y Ma, ME MacDonald, GB Pike Neuroimage 179, 166-175, 2018 | 51 | 2018 |
| Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter AM Elkady, D Cobzas, H Sun, G Blevins, AH Wilman Journal of Magnetic Resonance Imaging 46 (5), 1464-1473, 2017 | 44 | 2017 |
| Structural and functional quantitative susceptibility mapping from standard fMRI studies H Sun, P Seres, AH Wilman NMR in Biomedicine 30 (4), e3619, 2017 | 44 | 2017 |
| xQSM: quantitative susceptibility mapping with octave convolutional and noise‐regularized neural networks Y Gao, X Zhu, BA Moffat, R Glarin, AH Wilman, GB Pike, S Crozier, F Liu, ... NMR in Biomedicine 34 (3), e4461, 2021 | 43 | 2021 |
| Deep grey matter iron accumulation in alcohol use disorder M Juhás, H Sun, MRG Brown, MB MacKay, KF Mann, WH Sommer, ... Neuroimage 148, 115-122, 2017 | 42 | 2017 |
| Cognitive implications of deep gray matter iron in multiple sclerosis E Fujiwara, JA Kmech, D Cobzas, H Sun, P Seres, G Blevins, AH Wilman American Journal of Neuroradiology 38 (5), 942-948, 2017 | 38 | 2017 |
| Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls AM Elkady, D Cobzas, H Sun, P Seres, G Blevins, AH Wilman Multiple sclerosis and related disorders 33, 107-115, 2019 | 33 | 2019 |
| Importance of extended spatial coverage for quantitative susceptibility mapping of iron-rich deep gray matter AM Elkady, H Sun, AH Wilman Magnetic resonance imaging 34 (4), 574-578, 2016 | 33 | 2016 |
| Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects AM Elkady, D Cobzas, H Sun, G Blevins, AH Wilman Journal of Magnetic Resonance Imaging 48 (3), 652-668, 2018 | 29 | 2018 |
| Cerebral OEF quantification: A comparison study between quantitative susceptibility mapping and dual‐gas calibrated BOLD imaging Y Ma, H Sun, J Cho, EL Mazerolle, Y Wang, GB Pike Magnetic resonance in medicine 83 (1), 68-82, 2020 | 27 | 2020 |
| Atypical presentations of coronavirus disease 2019 (COVID-19) from onset to readmission Z Yang, X Chen, R Huang, S Li, D Lin, Z Yang, H Sun, G Liu, J Qiu, ... BMC Infectious Diseases 21, 1-12, 2021 | 24 | 2021 |
| On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks X Liu, J Wang, H Sun, SS Chandra, S Crozier, F Liu Magnetic resonance imaging 77, 159-168, 2021 | 24 | 2021 |
Alan WilmanUniversity of AlbertaVerified email at ualberta.ca
