Farhad Pashakhanloo
Farhad Pashakhanloo
Cold Spring Harbor Laboratory
Verified email at - Homepage
Cited by
Cited by
Myofiber architecture of the human atria as revealed by submillimeter diffusion tensor imaging
F Pashakhanloo, DA Herzka, H Ashikaga, S Mori, N Gai, DA Bluemke, ...
Circulation: arrhythmia and electrophysiology 9 (4), e004133, 2016
Feasibility of using patient-specific models and the “minimum cut” algorithm to predict optimal ablation targets for left atrial flutter
S Zahid, KN Whyte, EL Schwarz, RC Blake III, PM Boyle, J Chrispin, ...
Heart rhythm 13 (8), 1687-1698, 2016
Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a …
D Deng, MJ Murphy, JB Hakim, WH Franceschi, S Zahid, F Pashakhanloo, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (9), 093932, 2017
Submillimeter diffusion tensor imaging and late gadolinium enhancement cardiovascular magnetic resonance of chronic myocardial infarction
F Pashakhanloo, DA Herzka, S Mori, M Zviman, H Halperin, N Gai, ...
Journal of cardiovascular magnetic resonance 19, 1-14, 2017
Accuracy of prediction of infarct-related arrhythmic circuits from image-based models reconstructed from low and high resolution MRI
D Deng, H Arevalo, F Pashakhanloo, A Prakosa, H Ashikaga, E McVeigh, ...
Frontiers in physiology 6, 282, 2015
Methodology for image-based reconstruction of ventricular geometry for patient-specific modeling of cardiac electrophysiology
A Prakosa, P Malamas, S Zhang, F Pashakhanloo, H Arevalo, DA Herzka, ...
Progress in biophysics and molecular biology 115 (2-3), 226-234, 2014
Constructing a human atrial fibre atlas
CH Roney, R Bendikas, F Pashakhanloo, C Corrado, EJ Vigmond, ...
Annals of biomedical engineering 49, 233-250, 2021
Image‐based reconstruction of three‐dimensional myocardial infarct geometry for patient‐specific modeling of cardiac electrophysiology
E Ukwatta, H Arevalo, M Rajchl, J White, F Pashakhanloo, A Prakosa, ...
Medical physics 42 (8), 4579-4590, 2015
Imaging-based simulations for predicting sudden death and guiding ventricular tachycardia ablation
NA Trayanova, F Pashakhanloo, KC Wu, HR Halperin
Circulation: Arrhythmia and Electrophysiology 10 (7), e004743, 2017
The association of left atrial low-voltage regions on electroanatomic mapping with low attenuation regions on cardiac computed tomography perfusion imaging in patients with …
Z Ling, J McManigle, V Zipunnikov, F Pashakhanloo, IM Khurram, ...
Heart Rhythm 12 (5), 857-864, 2015
The association of pre-existing left atrial fibrosis with clinical variables in patients referred for catheter ablation of atrial fibrillation
J Dewire, IM Khurram, F Pashakhanloo, D Spragg, JE Marine, RD Berger, ...
Clinical Medicine Insights: Cardiology 8, CMC. S15036, 2014
Role of 3-dimensional architecture of scar and surviving tissue in ventricular tachycardia: insights from high-resolution ex vivo porcine models
F Pashakhanloo, DA Herzka, H Halperin, ER McVeigh, NA Trayanova
Circulation: Arrhythmia and Electrophysiology 11 (6), e006131, 2018
Multi‐domain convolutional neural network (MD‐CNN) for radial reconstruction of dynamic cardiac MRI
H El‐Rewaidy, AS Fahmy, F Pashakhanloo, X Cai, S Kucukseymen, ...
Magnetic Resonance in Medicine 85 (3), 1195-1208, 2021
A comprehensive, multiscale framework for evaluation of arrhythmias arising from cell therapy in the whole post-myocardial infarcted heart
JK Yu, W Franceschi, Q Huang, F Pashakhanloo, PM Boyle, ...
Scientific Reports 9 (1), 1-16, 2019
Local conduction velocity in the presence of late gadolinium enhancement and myocardial wall thinning: a cardiac magnetic resonance study in a swine model of healed left …
J Jang, J Whitaker, E Leshem, LH Ngo, U Neisius, S Nakamori, ...
Circulation: Arrhythmia and Electrophysiology 12 (5), e007175, 2019
Image-based reconstruction of 3D myocardial infarct geometry for patient specific applications
E Ukwatta, M Rajchl, J White, F Pashakhanloo, DA Herzka, E McVeigh, ...
Medical Imaging 2015: Image Processing 9413, 780-786, 2015
Machine learning phenotyping of scarred myocardium from cine in hypertrophic cardiomyopathy
J Mancio, F Pashakhanloo, H El-Rewaidy, J Jang, G Joshi, I Csecs, L Ngo, ...
European Heart Journal-Cardiovascular Imaging 23 (4), 532-542, 2021
Discordance in scar detection between electroanatomical mapping and cardiac MRI in an infarct swine model
S Kucukseymen, H Yavin, M Barkagan, J Jang, A Shapira-Daniels, ...
Clinical Electrophysiology 6 (11), 1452-1464, 2020
Association between left ventricular mechanical deformation and myocardial fibrosis in nonischemic cardiomyopathy
I Csecs, F Pashakhanloo, A Paskavitz, J Jang, T Al‐Otaibi, U Neisius, ...
Journal of the American Heart Association 9 (19), e016797, 2020
Error propagation in non-Iterative EIT block method
A Abbasi, F Pashakhanlou, BV Vahdat
2007 IEEE International Symposium on Signal Processing and Information …, 2007
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Articles 1–20