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Reza Nezafat

Affiliations: 
Engineering and Applied Sciences Harvard University, Cambridge, MA, United States 
Area:
Electronics and Electrical Engineering
Google:
"Reza Nezafat"
Bio:

https://www.proquest.com/openview/ca94fa2503c1886b31895ab135521533/1

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Parents

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Elliot R. McVeigh grad student 2006 Johns Hopkins (Physics Tree)
 (Efficient acquisition and reconstruction methods for MR flow and angiography)

Children

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Yongjun Kwak grad student 2012 Harvard
Seung H. Nam grad student 2012 Harvard
Peng Hu post-doc HMS

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Publications

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Morales MA, Ghanbari F, Nakamori S, et al. (2024) Deformation-encoding Deep Learning Transformer for High-Frame-Rate Cardiac Cine MRI. Radiology. Cardiothoracic Imaging. 6: e230177
Morales MA, Manning WJ, Nezafat R. (2024) Present and Future Innovations in AI and Cardiac MRI. Radiology. 310: e231269
Morales MA, Yoon S, Fahmy A, et al. (2023) Highly accelerated free-breathing real-time myocardial tagging for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 25: 56
Guo R, Qi H, Amyar A, et al. (2022) Quantification of changes in myocardial T * values with exercise cardiac MRI using a free-breathing non-electrocardiograph radial imaging. Magnetic Resonance in Medicine
Guo R, Weingärtner S, Šiurytė P, et al. (2021) Emerging Techniques in Cardiac Magnetic Resonance Imaging. Journal of Magnetic Resonance Imaging : Jmri
Haji-Valizadeh H, Guo R, Kucukseymen S, et al. (2021) Artifact reduction in free-breathing, free-running myocardial perfusion imaging with interleaved non-selective RF excitations. Magnetic Resonance in Medicine
Jang J, El-Rewaidy H, Ngo LH, et al. (2021) Sensitivity of Myocardial Radiomic Features to Imaging Parameters in Cardiac MR Imaging. Journal of Magnetic Resonance Imaging : Jmri
Fahmy AS, Rowin EJ, Chan RH, et al. (2021) Improved Quantification of Myocardium Scar in Late Gadolinium Enhancement Images: Deep Learning Based Image Fusion Approach. Journal of Magnetic Resonance Imaging : Jmri
El-Rewaidy H, Fahmy AS, Pashakhanloo F, et al. (2020) Multi-domain convolutional neural network (MD-CNN) for radial reconstruction of dynamic cardiac MRI. Magnetic Resonance in Medicine
Jang J, Ngo LH, Mancio J, et al. (2020) Reproducibility of Segmentation-based Myocardial Radiomic Features with Cardiac MRI. Radiology. Cardiothoracic Imaging. 2: e190216
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