Fractal Features Combined with Local Phase Information in Texture Analysis. - Samah Khawaled; Yehoshua Y. Zeevi (ISPA, 2019)

On the Self-Similarity of Natural Stochastic Textures. - Samah Khawaled; Yehoshua Y. Zeevi (CoRR, 2019)

Texture and Structure Two-view Classification of Images. - Samah Khawaled; Michael Zibulevsky; Yehoshua Y. Zeevi (CoRR, 2019)

Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework. - Samah Khawaled; Moti Freiman (CoRR, 2020)

NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration. - Samah Khawaled; Moti Freiman (CoRR, 2021)

NPB-REC: Non-parametric Assessment of Uncertainty in Deep-Learning-Based MRI Reconstruction from Undersampled Data. - Samah Khawaled; Moti Freiman (MLMIR@MICCAI, 2022)

NPBDREG: Uncertainty assessment in diffeomorphic brain MRI registration using a non-parametric Bayesian deep-learning based approach. - Samah Khawaled; Moti Freiman (Comput. Medical Imaging Graph., 2022)

Uncertainty Assessment in Whole-Body Low Dose Pet Reconstruction Using Non-Parametric Bayesian Deep Learning Approach. - Maya Fichmann Levital; Samah Khawaled; Yufei Chen 002; John A. Kennedy; Moti Freiman (ISBI, 2023)

NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation. - Samah Khawaled; Moti Freiman (Artif. Intell. Medicine, 2024)

A self-attention model for robust rigid slice-to-volume registration of functional MRI. - Samah Khawaled; Simon K. Warfield; Moti Freiman (CoRR, 2024)

Stochastic textures modeling and its application in texture structure decomposition. - Samah Khawaled; Yehoshua Y. Zeevi (J. Vis. Commun. Image Represent., 2025)

Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment. - Maya Fichmann Levital; Samah Khawaled; John A. Kennedy; Moti Freiman (Medical Biol. Eng. Comput., 2025)