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Journal Club

Events: Wednesday, Sep 21, 2022, 07:00am -Wednesday, Sep 21, 2022, 08:00am

Join us as we discuss current literature in cardiovascular imaging.Shiro Nakamori, MD, PhD will present the following article: Jin, X et al. Epicardial adipose tissue related to left atrial and ventricular function in heart failure with preserved versus reduced and mildly reduced ejection fraction...

Journal Club

Events: Wednesday, Oct 26, 2022, 07:00am -Wednesday, Oct 26, 2022, 08:00am

Join us as we discuss current literature in cardiovascular imaging.Forough Yazdanian, MD will present the following article: Wong, C et al. Epicardial fat and atrial fibrillation: current evidence, potential mechanisms, clinical implications, and future directions. European Heart Journal 2017; 38...

Publication Details:

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An Explainable Machine Learning Approach Reveals Prognostic Significance of Right Ventricular Dysfunction in Nonischemic Cardiomyopathy Fahmy AS, Csecs I, Arafati A, Assana S, Yankama TT, Al-Otaibi T, Rodriguez J, Chen YY, Ngo LH, Manning WJ, Kwong RY, Nezafat R. Abstract Objectives: We implemented...

Open Source Software

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The Harvard Cardiovascular MR Center strives to make its research widely accesible through the sharing of open source codes and datasets whenever possible. Codes You can find codes on our lab's GitHub. To see all of our available project repositories, please click here. Data You can find datasets...

A Deep Learning Based Model for Predicting Heart Failure in Hypertrophic Cardiomyopathy Patients with Left Ventricular Outflow Tract Obstruction

Publication: Conference Proceedings

Fahmy, AS, EJ Rowin, WJ Manning, MS Maron, and Reza Nezafat. 2019. “A Deep Learning Based Model for Predicting Heart Failure in Hypertrophic Cardiomyopathy Patients With Left Ventricular Outflow Tract Obstruction”. In: American Heart Association (AHA) Scientific Sessions, Philadelphia, PA.

Transfer Learning Based Automated Myocardial T2 and Extracellular Volume Quantification

Publication: Conference Proceedings

Zhu, AS Fahmy, Duan, and Reza Nezafat. 2019. “Transfer Learning Based Automated Myocardial T2 and Extracellular Volume Quantification”. In: Proceedings from the 27th Annual Meeting of the International Society of Magnetic Resonance in Medicine (ISMRM), Montreal, QC, Canada.

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

Publication: Conference Proceedings

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.

Multiparametric mapping approach in the detection of subclinical cardiac involvement in systemic sarcoidosis

Publication: Conference Proceedings

Nakamori, Shiro, Ulf Neisius, Maryam Nezafat, Jihye Jang, Long Ngo, WJ Manning, and Reza Nezafat. 2019. “Multiparametric Mapping Approach in the Detection of Subclinical Cardiac Involvement in Systemic Sarcoidosis”. In: Proceedings from the 22nd Annual Society for Cardiovascular Magnetic Resonance (SCMR) Scientific Sessions, Bellevue, WA.

Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR

Publication: Conference Proceedings

Yaman, Shenoy, Deng, Moeller, Hossam El-Rewaidy, and Reza Nezafat. 2021. “Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR”. In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France.

Journal Club

Events: Wednesday, Mar 16, 2022, 07:00am -Wednesday, Mar 16, 2022, 08:00am

Join us as we discuss current literature in cardiovascular imaging.Kei Nakata, MD, PhD will present the following article: Schonbauer R, et al. Prognostic impact of left atrial function in heart failure with preserved ejection fraction in sinus rhythm vs. persistent atrial fibrillation. ESC Heart...