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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 Approach

Kucukseymen, Selcuk, Arghavan Arafati, Talal Al-Otaibi, Hossam El-Rewaidy, WJ Manning, and Reza Nezafat. 2021. “Incremental Role of Left Atrial and Right Ventricular Strains for Predicting Cardiovascular Outcome in Heart Failure Preserved Ejection Fraction Patients: A Machine Learning Approach”. Journal of the American College of Cardiology 77 (18): 1268.

Journal Club

Join us as we discuss current literature in cardiovascular imaging.Amine Amyar, PhD will present the following article: Hoffman M, et al. SynthMorph: learning contrast-invariant registration without acquired images. IEEE Transactions on Medical imaging 2017.

Journal Club

Join us as we discuss current literature in cardiovascular imaging.Salah Assana, MS will present the following article: Rocha, B.M.L., Cunha, G.J.L., Freitas, P. et al. Measuring lung water adds prognostic value in heart failure patients undergoing cardiac magnetic resonance. Scientific Reports 2021...

Journal Club

Join us as we discuss current literature in cardiovascular imaging.Salah Assana will present the following article: Afereen, Y et al. Scan-specific artifact reduction in k-space (SPARK) neural networks synergize with physics-based reconstruction to accelerate MRI. Magnetic Resonance in Medicine 2021...

Non-Contrast Myocardial Viability Assessment using a Hybrid Native T1 and Magnetization Transfer Imaging Sequence

Duan, Chong, Yanjie Zhu, Jihye Jang, Jennifer Rodriguez, Ulf Neisius, AS Fahmy, and Reza Nezafat. 2019. “Non-Contrast Myocardial Viability Assessment Using a Hybrid Native T1 and Magnetization Transfer Imaging Sequence”. In: Proceedings from the 22nd Annual Society for Cardiovascular Magnetic Resonance (SCMR) Scientific Sessions, Bellevue, WA.