| Deep convolutional neural networks to predict cardiovascular risk from computed tomography R Zeleznik, B Foldyna, P Eslami, J Weiss, I Alexander, J Taron, C Parmar, ... Nature communications 12 (1), 715, 2021 | 138 | 2021 |
| Method for Estimating Pressure Gradients and Fractional Flow Reserve from Computed Tomography Angiography: Transluminal Attenuation Flow Encoding R Mittal, AC Lardo, JH Seo, P Eslami US Patent App. 13/868,665, 2013 | 117 | 2013 |
| A novel method for quantifying the in-vivo mechanical effect of material injected into a myocardial infarction JF Wenk, P Eslami, Z Zhang, C Xu, E Kuhl, JH Gorman III, JD Robb, ... The Annals of thoracic surgery 92 (3), 935-941, 2011 | 85 | 2011 |
| Effect of wall elasticity on hemodynamics and wall shear stress in patient-specific simulations in the coronary arteries P Eslami, J Tran, Z Jin, J Karady, R Sotoodeh, MT Lu, U Hoffmann, ... Journal of biomechanical engineering 142 (2), 024503, 2020 | 62 | 2020 |
| Computed tomography-based fat and muscle characteristics are associated with mortality after transcatheter aortic valve replacement B Foldyna, FM Troschel, D Addison, FJ Fintelmann, S Elmariah, D Furman, ... Journal of cardiovascular computed tomography 12 (3), 223-228, 2018 | 45 | 2018 |
| Radiomics of coronary artery calcium in the Framingham Heart Study P Eslami, C Parmar, B Foldyna, JE Scholtz, A Ivanov, R Zeleznik, MT Lu, ... Radiology: Cardiothoracic Imaging 2 (1), e190119, 2020 | 30 | 2020 |
| Estimating coronary blood flow using CT transluminal attenuation flow encoding: Formulation, preclinical validation, and clinical feasibility AC Lardo, AA Rahsepar, JH Seo, P Eslami, F Korley, S Kishi, T Abd, ... Journal of cardiovascular computed tomography 9 (6), 559-566. e1, 2015 | 29 | 2015 |
| A highly automated computational method for modeling of intracranial aneurysm hemodynamics JH Seo, P Eslami, J Caplan, RJ Tamargo, R Mittal Frontiers in physiology 9, 681, 2018 | 23 | 2018 |
| Validation of wall shear stress assessment in non-invasive coronary CTA versus invasive imaging: a patient-specific computational study P Eslami, EMJ Hartman, M Albaghadai, J Karady, Z Jin, V Thondapu, ... Annals of biomedical engineering 49, 1151-1168, 2021 | 20 | 2021 |
| Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer R Zeleznik, J Weiss, J Taron, C Guthier, DS Bitterman, C Hancox, ... NPJ digital medicine 4 (1), 43, 2021 | 17 | 2021 |
| Density and morphology of coronary artery calcium for the prediction of cardiovascular events: insights from the Framingham Heart Study B Foldyna, P Eslami, JE Scholtz, K Baltrusaitis, MT Lu, JM Massaro, ... European radiology 29, 6140-6148, 2019 | 16 | 2019 |
| Cardiac computed tomography–more than coronary arteries? a clinical update J Taron, B Foldyna, P Eslami, U Hoffmann, K Nikolaou, F Bamberg RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2019 | 16 | 2019 |
| Computational study of computed tomography contrast gradients in models of stenosed coronary arteries P Eslami, JH Seo, AA Rahsepar, R George, AC Lardo, R Mittal Journal of biomechanical engineering 137 (9), 091002, 2015 | 13 | 2015 |
| Physiology and coronary artery disease: emerging insights from computed tomography imaging based computational modeling P Eslami, V Thondapu, J Karady, EMJ Hartman, Z Jin, M Albaghdadi, ... The international journal of cardiovascular imaging 36, 2319-2333, 2020 | 12 | 2020 |
| Sex differences in left ventricular remodeling and outcomes in chronic aortic regurgitation AA Kammerlander, C Donà, C Nitsche, M Koschutnik, A Zafar, P Eslami, ... Journal of clinical medicine 9 (12), 4100, 2020 | 9 | 2020 |
| Flow dynamics in the aortic arch and its effect on the arterial input function in cardiac computed tomography P Eslami, JH Seo, AC Lardo, MY Chen, R Mittal Journal of Biomechanical Engineering 141 (10), 104501, 2019 | 6 | 2019 |
| Epicardial adipose tissue in patients with stable chest pain: insights from the PROMISE trial B Foldyna, R Zeleznik, P Eslami, T Mayrhofer, M Ferencik, DO Bittner, ... Cardiovascular Imaging 13 (10), 2273-2275, 2020 | 5 | 2020 |
| Deep convolutional neural networks to predict cardiovascular risk from computed tomography. Nat Commun 2021; 12: 715 R Zeleznik, B Foldyna, P Eslami, J Weiss, I Alexander, J Taron, C Parmar, ... Přejít k původnímu zdroji... Přejít na PubMed, 0 | 5 | |
| Standardized measurement of abdominal muscle by computed tomography: association with cardiometabolic risk in the Framingham Heart Study A Kammerlander, A Lyass, TF Mahoney, J Taron, P Eslami, MT Lu, ... European radiology 32 (10), 7068-7078, 2022 | 4 | 2022 |
| Small whole heart volume predicts cardiovascular events in patients with stable chest pain: insights from the PROMISE trial B Foldyna, R Zeleznik, P Eslami, T Mayrhofer, JE Scholtz, M Ferencik, ... European radiology 31, 6200-6210, 2021 | 3 | 2021 |
Rajat MittalJohns Hopkins UniversityVerified email at jhu.edu
