| Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline S Ayton, A Fazlollahi, P Bourgeat, P Raniga, A Ng, YY Lim, I Diouf, ... Brain 140 (8), 2112-2119, 2017 | 238 | 2017 |
| Is high homocysteine level a risk factor for cognitive decline in elderly? A systematic review, meta-analysis, and meta-regression RCM Ho, MWL Cheung, E Fu, HH Win, MH Zaw, A Ng, A Mak The American Journal of Geriatric Psychiatry 19 (7), 607-617, 2011 | 141 | 2011 |
| MRI-based glomerular morphology and pathology in whole human kidneys SC Beeman, LA Cullen-McEwen, VG Puelles, M Zhang, T Wu, ... American Journal of Physiology-Renal Physiology 306 (11), F1381-F1390, 2014 | 113 | 2014 |
| Iron accumulation in the basal ganglia in Huntington's disease: cross-sectional data from the IMAGE-HD study ACL Ng, G Poudel, JC Stout, A Churchyard, P Chua, GF Egan, ... Journal of Neurology, Neurosurgery & Psychiatry 87 (5), 545-549, 2016 | 93 | 2016 |
| Detecting lesions after traumatic brain injury using susceptibility weighted imaging: a comparison with fluid-attenuated inversion recovery and correlation with clinical outcome G Spitz, JJ Maller, A Ng, R O'Sullivan, NJ Ferris, JL Ponsford Journal of neurotrauma 30 (24), 2038-2050, 2013 | 81 | 2013 |
| The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics … WJ Goscinski, P McIntosh, U Felzmann, A Maksimenko, CJ Hall, ... Frontiers in Neuroinformatics 8, 30, 2014 | 69 | 2014 |
| 7T-fMRI: Faster temporal resolution yields optimal BOLD sensitivity for functional network imaging specifically at high spatial resolution PE Yoo, SE John, S Farquharson, JO Cleary, YT Wong, A Ng, ... Neuroimage 164, 214-229, 2018 | 42 | 2018 |
| Combining images and anatomical knowledge to improve automated vein segmentation in MRI PGD Ward, NJ Ferris, P Raniga, DL Dowe, ACL Ng, DG Barnes, GF Egan Neuroimage 165, 294-305, 2018 | 35 | 2018 |
| Australian Imaging Biomarkers Lifestyle (AIBL) Research Group, Salvado O, Bush AI (2017) Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline S Ayton, A Fazlollahi, P Bourgeat, P Raniga, A Ng, Y Lim, I Diouf, ... Brain 140, 2112-2119, 0 | 30* | |
| Improved quantification of cerebral vein oxygenation using partial volume correction PGD Ward, AP Fan, P Raniga, DG Barnes, DL Dowe, ACL Ng, GF Egan Frontiers in neuroscience 11, 223131, 2017 | 21 | 2017 |
| Towards a cross-disciplinary framework for promoting youth wellbeing A Ng, DA Vella-Brodrick International Journal of Wellbeing 9 (4), 2019 | 17 | 2019 |
| Brain morphometry in blind and sighted subjects JJ Maller, RH Thomson, A Ng, C Mann, M Eager, H Ackland, ... Journal of Clinical Neuroscience 33, 89-95, 2016 | 16 | 2016 |
| Spatially dependent filtering for removing phase distortions at the cortical surface A Ng, L Johnston, Z Chen, ZH Cho, J Zhang, G Egan Magnetic Resonance in Medicine 66 (3), 784-793, 2011 | 14 | 2011 |
| A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping A Fazlollahi, S Ayton, P Bourgeat, P Raniga, A Ng, J Fripp, D Ames, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 97-100, 2017 | 7 | 2017 |
| Vein segmentation using shape-based Markov Random Fields PGD Ward, NJ Ferris, P Raniga, ACL Ng, DG Barnes, DL Dowe, GF Egan 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 6 | 2017 |
| Six recurrent amyloid-related imaging abnormality episodes in a patient treated with aducanumab JN Hall, E Mormino, A Ng, A Boumis, JL Gaudioso, GA Davidzon, ... JAMA neurology 79 (1), 87-89, 2022 | 5 | 2022 |
| Venous segmentation using Gaussian mixture models and Markov random fields PGD Ward, NJ Ferris, ACL Ng, DG Barnes, DL Dowe, GF Egan, P Raniga Proceedings of the 23rd Annual Meeting of the International Society for …, 2015 | 5 | 2015 |
| Venous metrics in a large cohort of healthy elderly individuals from susceptibility-weighted images and quantitative susceptibility maps PGD Ward, P Raniga, NJ Ferris, ACL Ng, DG Barnes, DL Dowe, E Storey, ... Proceedings of the 24rd Annual Meeting of the International Society for …, 2016 | 4 | 2016 |
| Youth experiences of co-designing a well-being intervention: reflections, learnings and recommendations D Vella-Brodrick, K Patrick, R Jacques-Hamilton, A Ng, TC Chin, ... Oxford Review of Education 49 (6), 838-857, 2023 | 2 | 2023 |
| [P1–444]: QUANTITATIVE SUSCEPTIBILITY MAPPING OF THE HIPPOCAMPUS PREDICTS HIPPOCAMPAL ATROPHY IN Aβ+ ELDERLY CONTROLS AND ALZHEIMER's DISEASE PATIENTS A Fazlollahi, S Ayton, I Diouf, P Bourgeat, P Raniga, V Dore, A Ng, J Fripp, ... Alzheimer's & Dementia 13 (7S_Part_9), P454-P455, 2017 | 2 | 2017 |
