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Niloufar Zarinabad ,MSc, PhD
Niloufar Zarinabad ,MSc, PhD
Unknown affiliation
Verified email at bham.ac.uk - Homepage
Title
Cited by
Cited by
Year
Evaluation of intravoxel incoherent motion fitting methods in low‐perfused tissue
EM Meeus, J Novak, SB Withey, N Zarinabad, H Dehghani, AC Peet
Journal of magnetic resonance imaging 45 (5), 1325-1334, 2017
652017
Perfusion phantom: An efficient and reproducible method to simulate myocardial first‐pass perfusion measurements with cardiovascular magnetic resonance
A Chiribiri, A Schuster, M Ishida, G Hautvast, N Zarinabad, G Morton, ...
Magnetic Resonance in medicine 69 (3), 698-707, 2013
562013
Microvascular ischemia in hypertrophic cardiomyopathy: new insights from high-resolution combined quantification of perfusion and late gadolinium enhancement
ADM Villa, E Sammut, N Zarinabad, G Carr-White, J Lee, N Bettencourt, ...
Journal of Cardiovascular Magnetic Resonance 18 (1), 1-11, 2015
552015
Voxel‐wise quantification of myocardial perfusion by cardiac magnetic resonance. Feasibility and methods comparison
N Zarinabad, A Chiribiri, GLTF Hautvast, M Ishida, A Schuster, ...
Magnetic resonance in medicine 68 (6), 1994-2004, 2012
522012
Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T 1H‐MR spectroscopy—A multi‐center study
N Zarinabad, LJ Abernethy, S Avula, NP Davies, D Rodriguez Gutierrez, ...
Magnetic resonance in medicine 79 (4), 2359-2366, 2018
322018
A quantitative high resolution voxel-wise assessment of myocardial blood flow from contrast-enhanced first-pass magnetic resonance perfusion imaging: microsphere validation in …
A Schuster, M Sinclair, N Zarinabad, M Ishida, JPHM van den Wijngaard, ...
European Heart Journal-Cardiovascular Imaging 16 (10), 1082-1092, 2015
312015
Myocardial blood flow quantification from MRI by deconvolution using an exponential approximation basis
G Hautvast, A Chiribiri, N Zarinabad, A Schuster, M Breeuwer, E Nagel
IEEE transactions on biomedical engineering 59 (7), 2060-2067, 2012
292012
Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy
N Zarinabad, M Wilson, SK Gill, KA Manias, NP Davies, AC Peet
Magnetic resonance in medicine 77 (6), 2114-2124, 2017
282017
Quantitative assessment of magnetic resonance derived myocardial perfusion measurements using advanced techniques: microsphere validation in an explanted pig heart system
A Schuster, N Zarinabad, M Ishida, M Sinclair, JPHM van den Wijngaard, ...
Journal of Cardiovascular Magnetic Resonance 16, 1-13, 2014
282014
Diffusion‐weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors
EM Meeus, N Zarinabad, KA Manias, J Novak, HEL Rose, H Dehghani, ...
Journal of Magnetic Resonance Imaging 47 (6), 1475-1486, 2018
252018
Feasibility of high-resolution quantitative perfusion analysis in patients with heart failure
E Sammut, N Zarinabad, R Wesolowski, G Morton, Z Chen, M Sohal, ...
Journal of Cardiovascular Magnetic Resonance 17 (1), 1-11, 2015
252015
Classification of paediatric brain tumours by diffusion weighted imaging and machine learning
J Novak, N Zarinabad, H Rose, T Arvanitis, L MacPherson, B Pinkey, ...
Scientific reports 11 (1), 1-8, 2021
212021
Effects of tracer arrival time on the accuracy of high-resolution (voxel-wise) myocardial perfusion maps from contrast-enhanced first-pass perfusion magnetic resonance
N Zarinabad, GLTF Hautvast, E Sammut, A Arujuna, M Breeuwer, E Nagel, ...
IEEE Transactions on Biomedical Engineering 61 (9), 2499-2506, 2014
212014
Hyperemic stress myocardial perfusion cardiovascular magnetic resonance in mice at 3 Tesla: initial experience and validation against microspheres
R Jogiya, M Makowski, A Phinikaridou, AS Patel, C Jansen, N Zarinabad, ...
Journal of Cardiovascular Magnetic Resonance 15, 1-10, 2013
192013
Evaluation of the added value of 1H-magnetic resonance spectroscopy for the diagnosis of pediatric brain lesions in clinical practice
K Manias, SK Gill, N Zarinabad, P Davies, M English, D Ford, ...
Neuro-oncology practice 5 (1), 18-27, 2018
182018
Sub-segmental quantification of single (stress)-pass perfusion CMR improves the diagnostic accuracy for detection of obstructive coronary artery disease
MTP Le, N Zarinabad, T D’Angelo, I Mia, R Heinke, TJ Vogl, A Zeiher, ...
Journal of Cardiovascular Magnetic Resonance 22 (1), 1-11, 2020
142020
A randomized prospective mechanistic cardiac magnetic resonance study correlating catheter stability, late gadolinium enhancement and 3 year clinical outcomes in robotically …
A Arujuna, R Karim, N Zarinabad, J Gill, K Rhode, T Schaeffter, M Wright, ...
EP Europace 17 (8), 1241-1250, 2015
112015
Influence of spatial resolution on the accuracy of quantitative myocardial perfusion in first pass stress perfusion CMR
N Zarinabad, A Chiribiri, GLTF Hautvast, M Breeuwer, E Nagel
Magnetic Resonance in Medicine 73 (4), 1623-1631, 2015
92015
Modelling parameter role on accuracy of cardiac perfusion quantification
N Zarinabad, A Chiribiri, GLTF Hautvast, A Shuster, M Sinclair, ...
Functional Imaging and Modeling of the Heart: 7th International Conference …, 2013
92013
Diagnostic accuracy and added value of qualitative radiological review of 1H-magnetic resonance spectroscopy in evaluation of childhood brain tumors
KA Manias, SK Gill, L MacPherson, A Oates, B Pinkey, P Davies, ...
Neuro-oncology practice 6 (6), 428-437, 2019
72019
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