Author

Y. C. Eldar

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:imaging· 3 Research Focus:clustering· 1 Organism:mouse· 1 Organism:rat· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

O. Solomon· 2 shared A. Bar-Zion· 1 shared C. Rabut· 1 shared D. Maresca· 1 shared G. Dardikman-Yoffe· 1 shared H. Qiong· 1 shared J. Luo· 1 shared M. G. Shapiro· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioengineering

O. Solomon

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Author profile →

3 papers

Recent·Most cited

Doppler Slicing for Ultrasound Super-Resolution Without Contrast Agents

A. Bar-Zion, O. Solomon, C. Rabut, D. Maresca, Y. C. Eldar, M. G. Shapiro

This paper introduces Doppler Slicing, a method to achieve super-resolution ultrasound imaging of vascular structures without contrast agents by using Fourier decomposition and compressed sensing.

bioRxiv · Nov 19, 2021 · PreprintBioengineering

Learned SPARCOM: Unfolded Deep Super-Resolution Microscopy

G. Dardikman-Yoffe, Y. C. Eldar

This paper introduces LSPARCOM, a deep learning method that improves super-resolution microscopy by combining classical SPARCOM with model-based deep learning, achieving faster and more efficient results.

bioRxiv · Apr 20, 2020Bioengineering

Deep Unfolded Robust PCA with Application toClutter Suppression in Ultrasound

O. Solomon, R. Cohen, Y. Zhang, Y. Yang, H. Qiong, J. Luo, R. J. can Sloun, Y. C. Eldar

The paper proposes a deep learning approach for clutter suppression in ultrasound imaging, showing improved image quality and contrast compared to existing methods.

bioRxiv · Nov 21, 2018Bioengineering