Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases by Karimi-Bidhendi, Saeed, Arafati, Arghavan, Cheng, Andrew L, Wu, Yilei, Kheradvar, Arash, Jafarkhani, Hamid

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Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy by Fahmy, Ahmed S, Rowin, Ethan J, Arafati, Arghavan, Al-Otaibi, Talal, Maron, Martin S, Nezafat, Reza

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INCREMENTAL ROLE OF LEFT ATRIAL AND RIGHT VENTRICULAR STRAINS FOR PREDICTING CARDIOVASCULAR OUTCOME IN HEART FAILURE PRESERVED EJECTION FRACTION PATIENTS: A MACHINE LEARNING APPROA... by Kucukseymen, Selcuk, Arafati, Arghavan, AlOtaibi, Talal, El-Rewaidy, Hossam, Manning, Warren, Nezafat, Reza

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Generalizable fully automated multi-label segmentation of four-chamber view echocardiograms based on deep convolutional adversarial networks by Arafati, Arghavan, Morisawa, Daisuke, Avendi, Michael R, Amini, M Reza, Assadi, Ramin A, Jafarkhani, Hamid, Kheradvar, Arash

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Noncontrast Cardiac Magnetic Resonance Imaging Predictors of Heart Failure Hospitalization in Heart Failure With Preserved Ejection Fraction by Kucukseymen, Selcuk, Arafati, Arghavan, Al‐Otaibi, Talal, El‐Rewaidy, Hossam, Fahmy, Ahmed S., Ngo, Long H., Nezafat, Reza

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An Explainable Machine Learning Approach Reveals Prognostic Significance of Right Ventricular Dysfunction in Nonischemic Cardiomyopathy by Fahmy, Ahmed S., Csecs, Ibolya, Arafati, Arghavan, Assana, Salah, Yankama, Tuyen T., Al-Otaibi, Talal, Rodriguez, Jennifer, Chen, Yi-Yun, Ngo, Long H., Manning, Warren J., Kwong, Raymond Y., Nezafat, Reza

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Artificial intelligence in pediatric and adult congenital cardiac MRI: an unmet clinical need by Arafati, Arghavan, Hu, Peng, Finn, J. Paul, Rickers, Carsten, Cheng, Andrew L., Jafarkhani, Hamid, Kheradvar, Arash

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