Niloufar Zarinabad ,MSc, PhD
Niloufar Zarinabad ,MSc, PhD
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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
452012
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
442013
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
342017
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
322015
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
272012
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
252015
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), 82, 2014
242014
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
202017
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
192015
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
172014
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), 62, 2013
162013
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
152018
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
102015
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
92018
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
92018
Modelling parameter role on accuracy of cardiac perfusion quantification
N Zarinabad, A Chiribiri, GLTF Hautvast, A Shuster, M Sinclair, ...
International Conference on Functional Imaging and Modeling of the Heart …, 2013
92013
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
62015
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
52020
Quantitative Assessment of Perfusion–Where Are We Now?
E Sammut, N Zarinabad, PF Vianello, A Chiribiri
Current Cardiovascular Imaging Reports 7 (7), 9278, 2014
52014
Myocardial blood flow quantification from MRI–an image analysis perspective
N Zarinabad, A Chiribiri, M Breeuwer
Current Cardiovascular Imaging Reports 7 (1), 9246, 2014
52014
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