Improved computation of Lagrangian tissue displacement and strain for cine DENSE MRI using a regularized spatiotemporal least squares method by Sona Ghadimi, Mohamad Abdi, Frederick H. Epstein

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A Neonatal Bimodal MR-CT Head Template. by Sona Ghadimi, Mehrana Mohtasebi, Hamid Abrishami Moghaddam, Reinhard Grebe, Masoumeh Gity, Fabrice Wallois

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Deep Learning-based Prognostic Model Using Cine DENSE MRI for Outcome Prediction After Cardiac Resynchronization Therapy by SONA Ghadimi, PhD, Derek Bivona, PhD, Kenneth Bilchick, MD, MSc, Frederick Epstein, PhD

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Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to clinical translation by Qiang Zhang, Anastasia Fotaki, Sona Ghadimi, Yu Wang, Mariya Doneva, Jens Wetzl, Jana G. Delfino, Declan P. O’Regan, Claudia Prieto, Frederick H. Epstein

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Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping by Sona Ghadimi, Daniel A. Auger, Xue Feng, Changyu Sun, Craig H. Meyer, Kenneth C. Bilchick, Jie Jane Cao, Andrew D. Scott, John N. Oshinski, Daniel B. Ennis, Frederick H. Epstein

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Reproducibility of global and segmental myocardial strain using cine DENSE at 3 T: a multicenter cardiovascular magnetic resonance study in healthy subjects and patients with heart... by Daniel A. Auger, Sona. Ghadimi, Xiaoying Cai, Claire E. Reagan, Changyu Sun, Mohamad Abdi, Jie Jane Cao, Joshua Y. Cheng, Nora Ngai, Andrew D. Scott, Pedro F. Ferreira, John N. Oshinski, Nick Emamifar, Daniel B. Ennis, Michael Loecher, Zhan-Qiu Liu, Pierre Croisille, Magalie Viallon, Kenneth C. Bilchick, Frederick H. Epstein

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