17 citations · 33 across the 8 of their papers we have counts for
8 papers
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation
Samah Khawaled, Moti Freiman
The ability to reconstruct high-quality images from undersampled MRI data is vital in improving MRI temporal resolution and reducing acquisition times. Deep learning methods have b…
A self-attention model for robust rigid slice-to-volume registration of functional MRI
Samah Khawaled, Simon K. Warfield, Moti Freiman
Functional Magnetic Resonance Imaging (fMRI) is vital in neuroscience, enabling investigations into brain disorders, treatment monitoring, and brain function mapping. However, head…
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data
Samah Khawaled, Moti Freiman
Uncertainty quantification in deep-learning (DL) based image reconstruction models is critical for reliable clinical decision making based on the reconstructed images. We introduce…
Deep-Learning based Motion Correction for Myocardial T1 Mapping
Dar Arava, Mohammad Masarwy, Samah Khawaled +1
Myocardial T1 mapping is a cardiac MRI technique, used to assess myocardial fibrosis. In this technique, a series of T1-weighted MRI images are acquired with different saturation o…
NPBDREG: Uncertainty Assessment in Diffeomorphic Brain MRI Registration using a Non-parametric Bayesian Deep-Learning Based Approach
Samah Khawaled, Moti Freiman
Quantification of uncertainty in deep-neural-networks (DNN) based image registration algorithms plays a critical role in the deployment of image registration algorithms for clinica…
Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework
Samah Khawaled, Moti Freiman
Unsupervised deep-learning (DL) models were recently proposed for deformable image registration tasks. In such models, a neural-network is trained to predict the best deformation f…
Texture and Structure Two-view Classification of Images
Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi
Textural and structural features can be regraded as "two-view" feature sets. Inspired by the recent progress in multi-view learning, we propose a novel two-view classification meth…
On the Self-Similarity of Natural Stochastic Textures
Samah Khawaled, Yehoshua Y. Zeevi
Self-similarity is the essence of fractal images and, as such, characterizes natural stochastic textures. This paper is concerned with the property of self-similarity in the statis…