| Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases S Karimi-Bidhendi, A Arafati, AL Cheng, Y Wu, A Kheradvar, H Jafarkhani Journal of cardiovascular magnetic resonance 22 (1), 80, 2020 | 44 | 2020 |
| Artificial intelligence in pediatric and adult congenital cardiac MRI: an unmet clinical need A Arafati, P Hu, JP Finn, C Rickers, AL Cheng, H Jafarkhani, A Kheradvar Cardiovascular diagnosis and therapy 9 (Suppl 2), S310, 2019 | 41 | 2019 |
| Generalizable fully automated multi-label segmentation of four-chamber view echocardiograms based on deep convolutional adversarial networks A Arafati, D Morisawa, MR Avendi, MR Amini, RA Assadi, H Jafarkhani, ... Journal of The Royal Society Interface 17 (169), 20200267, 2020 | 18 | 2020 |
| Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy AS Fahmy, EJ Rowin, A Arafati, T Al-Otaibi, MS Maron, R Nezafat Journal of Cardiovascular Magnetic Resonance 24 (1), 40, 2022 | 16 | 2022 |
| An explainable machine learning approach reveals prognostic significance of right ventricular dysfunction in nonischemic cardiomyopathy AS Fahmy, I Csecs, A Arafati, S Assana, TT Yankama, T Al-Otaibi, ... Cardiovascular Imaging 15 (5), 766-779, 2022 | 15 | 2022 |
| Noncontrast cardiac magnetic resonance imaging predictors of heart failure hospitalization in heart failure with preserved ejection fraction S Kucukseymen, A Arafati, T Al‐Otaibi, H El‐Rewaidy, AS Fahmy, LH Ngo, ... Journal of Magnetic Resonance Imaging 55 (6), 1812-1825, 2022 | 6 | 2022 |
| Segmentation and Tracking of Echocardiograms Using Deep Learning Algorithms A Arafati UC Irvine, 2019 | 2 | 2019 |
| Multi-label 4-chamber segmentation of echocardiograms using Fully Convolutional Network A Arafati, D Morisawa, R Assadi, R Amini, H Jafarkhani, A Kheradvar | 1 | 2018 |
| Fully automated four-chamber segmentation of echocardiograms A Arafati, H Jafarkhani, A Kheradvar US Patent 11,651,487, 2023 | | 2023 |
| INCREMENTAL ROLE OF LEFT ATRIAL AND RIGHT VENTRICULAR STRAINS FOR PREDICTING CARDIOVASCULAR OUTCOME IN HEART FAILURE PRESERVED EJECTION FRACTION PATIENTS: A MACHINE LEARNING … S Kucukseymen, A Arafati, T AlOtaibi, H El-Rewaidy, W Manning, ... Journal of the American College of Cardiology 77 (18_Supplement_1), 1268-1268, 2021 | | 2021 |
| Artificial intelligence in pediatric and adult congenital cardiac MRI: an unmet clinical A Arafati, P Hu, JP Finn Cardiovascular diagnosis and therapy, 9 (, 2019 | | 2019 |
| Fully Automatic Echocardiographic Segmentation Using Machine-learning Algorithms: P1-174 A Arafati, M Avendi, D Morisawa, R Amini, R Assadi, A Kheradvar Journal of the American Society of Echocardiography 29 (6), 2016 | | 2016 |
Arash Kheradvar, M.D., Ph.D., F.A.H.A.Professor of Biomedical Engineering and MedicineVerified email at uci.edu
