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researcher

Regev Cohen

9 papers hereh-index 161.3k citations22 works total

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

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • eess.SP4
  • cs.CV2
  • cs.IT1
  • cs.LG1
  • eess.IV1
same name
  • Regev Cohen — 8 papers, h 4
  • Regev Cohen — 2 papers, h 3
  • Regev Cohen — 1 paper
  • Regev Cohen — 1 paper, h 1

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
20182023
most citedSparse Array Design via Fractal Geometries

57 citations · 87 across the 5 of their papers we have counts for

collaborators
Showing eess.SPShow all

4 papers · 1 filter

eess.SP2020

Sparse Convolutional Beamforming for 3D Ultrafast Ultrasound Imaging

Regev Cohen, Nitai Fingerhut, Francois Varray +2

Real-time three dimensional (3D) ultrasound provides complete visualization of inner body organs and blood vasculature, which is crucial for diagnosis and treatment of diverse dise…

eess.SP2020★ 57 cited

Sparse Array Design via Fractal Geometries

Regev Cohen, Yonina C. Eldar

Sparse sensor arrays have attracted considerable attention in various fields such as radar, array processing, ultrasound imaging and communications. In the context of correlation-b…

eess.SP2019★ 4 cited

Adaptive Ultrasound Beamforming using Deep Learning

Ben Luijten, Regev Cohen, Frederik J. de Bruijn +4

Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-quality images from acquired sensor data. This reconstruction process is pivotal…

eess.SP2019

Deep learning in ultrasound imaging

Ruud JG van Sloun, Regev Cohen, Yonina C Eldar

We consider deep learning strategies in ultrasound systems, from the front-end to advanced applications. Our goal is to provide the reader with a broad understanding of the possibl…

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