7 citations · 14 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…