Sona Ghadimi
Sona Ghadimi
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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
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
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
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
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
Automatic fontanel extraction from newborns’ CT images using variational level set
K Kazemi, S Ghadimi, A Lyaghat, A Tarighati, N Golshaeyan, ...
International Conference on Computer Analysis of Images and Patterns, 639-646, 2009
A neonatal bimodal MR-CT head template
S Ghadimi, M Mohtasebi, H Abrishami Moghaddam, R Grebe, M Gity, ...
Plos one 12 (1), e0166112, 2017
Automatic model based brain and CSF extraction from structural neonatal MR images
K Kazemi, S Ghadimi, HA Moghaddam, N Golshaeyan, R Grebe, ...
NeuroImage, S50, 2009
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
Modeling of Neonatal Skull Development Using Computed Tomography Images
M Mohtasebi, M Bayat, S Ghadimi, HA Moghaddam, F Wallois
IRBM, 2020
Model-based Automatic Segmentation of the Neonatal Head in Magnetic Resonance Images using Fuzzy Support Vector Machines
M Daliri, H Abrishami-Moghaddam, M Momeni, S Ghadimi, M Giti
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