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Amir Fazlollahi
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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
2362017
Depression assessment by fusing high and low level features from audio, video, and text
A Pampouchidou, O Simantiraki, A Fazlollahi, M Pediaditis, D Manousos, ...
Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016
1172016
Fifteen years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) study: progress and observations from 2,359 older adults spanning the spectrum from cognitive normality …
C Fowler, SR Rainey-Smith, S Bird, J Bomke, P Bourgeat, BM Brown, ...
Journal of Alzheimer's disease reports 5 (1), 443-468, 2021
652021
MRI‐alone radiation therapy planning for prostate cancer: automatic fiducial marker detection
S Ghose, J Mitra, D Rivest‐Hénault, A Fazlollahi, P Stanwell, P Pichler, ...
Medical physics 43 (5), 2218-2228, 2016
482016
Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging
A Fazlollahi, F Meriaudeau, L Giancardo, VL Villemagne, CC Rowe, ...
Computerized Medical Imaging And Graphics 46, 269-276, 2015
472015
Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease
A Fazlollahi, F Calamante, X Liang, P Bourgeat, P Raniga, V Dore, J Fripp, ...
Journal of Magnetic Resonance Imaging 51 (2), 505-513, 2020
442020
Cerebrospinal fluid ferritin levels predict brain hypometabolism in people with underlying β-amyloid pathology
I Diouf, A Fazlollahi, AI Bush, S Ayton, ...
Neurobiology of disease 124, 335-339, 2019
402019
Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the radon transform
A Fazlollahi, F Meriaudeau, VL Villemagne, CC Rowe, P Yates, ...
2014 IEEE 11th international symposium on biomedical imaging (ISBI), 113-116, 2014
392014
SHARQnet–Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network
S Bollmann, MH Kristensen, MS Larsen, MV Olsen, MJ Pedersen, ...
Zeitschrift für Medizinische Physik 29 (2), 139-149, 2019
362019
Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods
A Fazlollahi, P Bourgeat, X Liang, F Meriaudeau, A Connelly, O Salvado, ...
NeuroImage 117, 191-201, 2015
312015
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*
Non-wearable UWB sensor to detect falls in smart home environment
G Mokhtari, Q Zhang, A Fazlollahi
2017 IEEE International Conference on Pervasive Computing and Communications …, 2017
262017
A prospective cohort study of prodromal Alzheimer’s disease: prospective imaging study of ageing: genes, brain and behaviour (PISA)
MK Lupton, GA Robinson, RJ Adam, S Rose, GJ Byrne, O Salvado, ...
NeuroImage: Clinical 29, 102527, 2021
252021
Hippocampal glutathione depletion with enhanced iron level in patients with mild cognitive impairment and Alzheimer’s disease compared with healthy elderly participants
PK Mandal, A Goel, AI Bush, K Punjabi, S Joon, R Mishra, M Tripathi, ...
Brain communications 4 (5), fcac215, 2022
212022
Reduced cortical cholinergic innervation measured using [18F]-FEOBV PET imaging correlates with cognitive decline in mild cognitive impairment
Y Xia, E Eeles, J Fripp, D Pinsker, P Thomas, M Latter, V Doré, ...
NeuroImage: Clinical 34, 102992, 2022
192022
Robust automatic landmark detection for underwater SLAM using side-scan sonar imaging
J Aulinas, A Fazlollahi, J Salvi, X Lladó, Y Petillot, J Sawas, R Garcıa
Proceedings of the 11th International Conference on Mobile Robots and …, 2011
172011
Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks
Y Gao, Z Xiong, A Fazlollahi, PJ Nestor, V Vegh, F Nasrallah, C Winter, ...
NeuroImage 259, 119410, 2022
162022
Alzheimer’s disease Neuroimaging I. Cerebrospinal fluid ferritin levels predict brain hypometabolism in people with underlying beta-amyloid pathology
I Diouf, A Fazlollahi, AI Bush, S Ayton
Neurobiol Dis 124, 335-9, 2019
132019
Automatic detection of small spherical lesions using multiscale approach in 3D medical images
A Fazlollahi, F Meriaudeau, VL Villemagne, CC Rowe, PM Desmond, ...
2013 IEEE International Conference on Image Processing, 1158-1162, 2013
132013
Patient with ALS with a novel TBK1 mutation, widespread brain involvement, behaviour changes and metabolic dysfunction
PA McCombe, ST Ngo, CC Guo, A Fazlollahi, S Bollmann, L Wang, X Hu, ...
Journal of Neurology, Neurosurgery & Psychiatry 90 (8), 952-954, 2019
122019
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