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Samah Khawaled

4 papers hereh-index 446 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Samah Khawaled — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedUnsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework

5 citations · 7 across the 3 of their papers we have counts for

collaborators

4 papers

eess.IV2021

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…

cs.CV2020★ 5 cited

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…

cs.CV2019

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…

cs.CV2019★ 2 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.