Samah Khawaled

16 papers C 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — ed.
Clinical Image-Based Procedures - 14th International Workshop, CLIP 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
CLIP@MICCAI
Marius Erdt, Yufei Chen, Stefan Wesarg, Klaus Drechsler, Moti Freiman, Sarina Thomas, Samah Khawaled
2025 J jnl
A self-attention model for robust rigid slice-to-volume registration of functional MRI.
Comput. Medical Imaging Graph.
Samah Khawaled, Onur Afacan, Simon K. Warfield, Moti Freiman
2025 J jnl
Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.
Medical Biol. Eng. Comput.
Maya Fichmann Levital, Samah Khawaled, John A. Kennedy, Moti Freiman
2025 J jnl
Stochastic textures modeling and its application in texture structure decomposition.
J. Vis. Commun. Image Represent.
Samah Khawaled, Yehoshua Y. Zeevi
2024 J jnl
A self-attention model for robust rigid slice-to-volume registration of functional MRI.
CoRR
Samah Khawaled, Simon K. Warfield, Moti Freiman
2024 J jnl
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation.
CoRR
Samah Khawaled, Moti Freiman
2024 J jnl
NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation.
Artif. Intell. Medicine
Samah Khawaled, Moti Freiman
2023 — conf
Uncertainty Assessment in Whole-Body Low Dose Pet Reconstruction Using Non-Parametric Bayesian Deep Learning Approach.
ISBI
Maya Fichmann Levital, Samah Khawaled, Yufei Chen, John A. Kennedy, Moti Freiman
2022 — conf
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-Learning-Based MRI Reconstruction from Undersampled Data.
MLMIR@MICCAI
Samah Khawaled, Moti Freiman
2022 J jnl
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data.
CoRR
Samah Khawaled, Moti Freiman
2022 J jnl
NPBDREG: Uncertainty assessment in diffeomorphic brain MRI registration using a non-parametric Bayesian deep-learning based approach.
Comput. Medical Imaging Graph.
Samah Khawaled, Moti Freiman
2021 J jnl
NPBDREG: A Non-parametric Bayesian Deep-Learning Based Approach for Diffeomorphic Brain MRI Registration.
CoRR
Samah Khawaled, Moti Freiman
2020 J jnl
Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework.
CoRR
Samah Khawaled, Moti Freiman
2019 C conf
Fractal Features Combined with Local Phase Information in Texture Analysis.
ISPA
Samah Khawaled, Yehoshua Y. Zeevi
2019 J jnl
On the Self-Similarity of Natural Stochastic Textures.
CoRR
Samah Khawaled, Yehoshua Y. Zeevi
2019 J jnl
Texture and Structure Two-view Classification of Images.
CoRR
Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi