| Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping S Ghadimi, DA Auger, X Feng, C Sun, CH Meyer, KC Bilchick, JJ Cao, ... Journal of Cardiovascular Magnetic Resonance 23 (1), 20, 2021 | 29 | 2021 |
| Skull segmentation and reconstruction from newborn CT images using coupled level sets S Ghadimi, HA Moghaddam, R Grebe, F Wallois IEEE journal of biomedical and health informatics 20 (2), 563-573, 2015 | 29 | 2015 |
| Skull segmentation in 3D neonatal MRI using hybrid Hopfield Neural Network M Daliri, HA Moghaddam, S Ghadimi, M Momeni, F Harirchi, M Giti 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 20 | 2010 |
| Segmentation of scalp and skull in neonatal MR images using probabilistic atlas and level set method S Ghadimi, H Abrishami-Moghaddam, K Kazemi, R Grebe, ... 2008 30th Annual International Conference of the IEEE Engineering in …, 2008 | 20 | 2008 |
| Neonatal probabilistic models for brain, CSF and skull using T1-MRI data: preliminary results K Kazemi, S Ghadimi, H Abrishami-Moghaddam, R Grebe, ... 2008 30th Annual International Conference of the IEEE Engineering in …, 2008 | 19 | 2008 |
| Locally adaptive multiscale Bayesian method for image denoising based on bivariate normal inverse Gaussian distributions M Forouzanfar, HA Moghaddam, S Ghadimi International Journal of Wavelets, Multiresolution and Information …, 2008 | 16 | 2008 |
| 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 … DA Auger, S Ghadimi, X Cai, CE Reagan, C Sun, M Abdi, JJ Cao, ... Journal of Cardiovascular Magnetic Resonance 24 (1), 23, 2022 | 14 | 2022 |
| A neonatal bimodal MR-CT head template S Ghadimi, M Mohtasebi, H Abrishami Moghaddam, R Grebe, M Gity, ... PloS one 12 (1), e0166112, 2017 | 10 | 2017 |
| Modeling of neonatal skull development using computed tomography images M Mohtasebi, M Bayat, S Ghadimi, HA Moghaddam, F Wallois Irbm 42 (1), 19-27, 2021 | 8 | 2021 |
| An accurate automated local similarity factor-based neural tree approach toward tissue segmentation of newborn brain MRI TH Jaware, KB Khanchandani, A Zurani American Journal of Perinatology 36 (11), 1157-1170, 2019 | 7 | 2019 |
| Automatic fontanel extraction from newborns’ CT images using variational level set K Kazemi, S Ghadimi, A Lyaghat, A Tarighati, N Golshaeyan, ... Computer Analysis of Images and Patterns: 13th International Conference …, 2009 | 7 | 2009 |
| Deep networks to automatically detect late-activating regions of the heart J Xing, S Ghadimi, M Abdi, KC Bilchick, FH Epstein, M Zhang 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1902-1906, 2021 | 4 | 2021 |
| StrainNet: improved myocardial strain analysis of cine MRI by deep learning from DENSE Y Wang, C Sun, S Ghadimi, DC Auger, P Croisille, M Viallon, K Mangion, ... Radiology: Cardiothoracic Imaging 5 (3), e220196, 2023 | 3 | 2023 |
| Automatic model based brain and CSF extraction from structural neonatal MR images K Kazemi, S Ghadimi, HA Moghaddam, N Golshaeyan, R Grebe, ... Neuroimage 47, S50, 2009 | 3 | 2009 |
| Systems and methods for phase unwrapping for dense MRI using deep learning S Ghadimi, C Sun, X Feng, CH Meyer, FH Epstein US Patent 11,857,288, 2024 | 1 | 2024 |
| Improved computation of Lagrangian tissue displacement and strain for cine DENSE MRI using a regularized spatiotemporal least squares method S Ghadimi, M Abdi, FH Epstein Frontiers in Cardiovascular Medicine 10, 1095159, 2023 | 1 | 2023 |
| Myocardial segmentation and phase unwrapping for automatic analysis of dense cardiac mri using deep learning S Ghadimi, X Feng, CH Meyer, FH Epstein International Society for Magnetic Resonance in Medicine Annual Meeting, 2020 | 1 | 2020 |
| Novel Multimodal Atlas Template for Spatial Normalization of Whole-Brain Images of Newborns OM Dastjerdi, HA Moghaddam, F Wallois, R Grebe, S Ghadimi IRBM 37 (5-6), 254-263, 2016 | 1 | 2016 |
| System and Method for Improved Cardiac MRI Feature Tracking by Learning from Displacement-Encoded Imaging FH Epstein, C Sun, S Ghadimi, Y Wang US Patent App. 63/149,900, 2021 | | 2021 |
| System and Method for Phase Unwrapping for DENSE MRI using Deep Learning S Ghadimi, C Sun, X Feng, CH Meyer, FH Epstein US Patent App. 62/969,342, 2020 | | 2020 |
Hamid Abrishami MoghaddamProfessor of Biomedical Engineering, K.N. Toosi University of TechnologyVerified email at kntu.ac.ir
