SG
Sona Ghadimi
DENSEDeep learningDeep LearningHeartImage Interpretation, Computer-AssistedMachine learningMagnetic Resonance Imaging, CineArtificial intelligenceArtificial IntelligenceCardiac
On Valency
published · living versionsW_8t27bvx9·v1 · currentpublished
GenStrain: Multi-Conditional Generative Diffusion Model To Synthesize High-quality Motion and Strain Maps From Cardiac Magnetic Resonance Images
with Rishov Paul, Cristiane C. Singulane, Amit R. Patel, Frederick H. Epstein +1
1 version
Preprints & journals
12 papers in the corpus · 2008–2024Machine learning of ECG waveforms and cardiac magnetic resonance for response and survival after cardiac resynchronization therapy.38850959 · Bivona, Derek J, Ghadimi, Sona, Wang, Yu et al.2024 · 9 citationsComputers in biology and medicine. 2024;178:108627
Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence-review of evidence and proposition of a roadmap to clinical translation.38909656 · Zhang, Qiang, Fotaki, Anastasia, Ghadimi, Sona et al.2024 · 51 citationsJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. 2024;26(2):101051
StrainNet: Improved Myocardial Strain Analysis of Cine MRI by Deep Learning from DENSE.37404792 · Wang, Yu, Sun, Changyu, Ghadimi, Sona et al.2025 · 28 citationsRadiology. Cardiothoracic imaging. 2023;5(3):e220196
Improved computation of Lagrangian tissue displacement and strain for cine DENSE MRI using a regularized spatiotemporal least squares method.37008315 · Ghadimi, Sona, Abdi, Mohamad, Epstein, Frederick H2023 · 10 citationsFrontiers in cardiovascular medicine. 2023;10:1095159
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 disease.35369885 · Auger, Daniel A, Ghadimi, Sona, Cai, Xiaoying et al.2022 · 30 citationsJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. 2022;24(1):23
Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.33691739 · Ghadimi, Sona, Auger, Daniel A, Feng, Xue et al.2021 · 41 citationsJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. 2021;23(1):20
Deep Networks to Automatically Detect Late-activating Regions of the Heart2012.04000v1 · Jiarui Xing, Sona Ghadimi, Mohammad Abdishektaei et al.2020 · 8 citationsarXiv
A Neonatal Bimodal MR-CT Head Template.28129340 · Ghadimi, Sona, Mohtasebi, Mehrana, Abrishami Moghaddam, Hamid et al.2017 · 9 citationsPloS one. 2017;12(1):e0166112
Skull Segmentation and Reconstruction From Newborn CT Images Using Coupled Level Sets.25667361 · Ghadimi, Sona, Abrishami Moghaddam, Hamid, Grebe, Reinhard et al.2017 · 26 citationsIEEE journal of biomedical and health informatics. 2016;20(2):563-73
Skull segmentation in 3D neonatal MRI using hybrid Hopfield Neural Network.21097097 · Daliri, M, Abrishami Moghaddam, H, Ghadimi, S et al.2011 · 12 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2010;2010:4060-3
Segmentation of scalp and skull in neonatal MR images using probabilistic atlas and level set method.19163352 · Ghadimi, S, Abrishami-Moghaddam, H, Kazemi, K et al.2009 · 12 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2008;2008:3060-3
Neonatal probabilistic models for brain, CSF and skull using T1-MRI data: preliminary results.19163563 · Kazemi, K, Ghadimi, S, Abrishami-Moghaddam, H et al.2009 · 12 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2008;2008:3892-5
Career total: 30 works. 12 are in this corpus.
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