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V. Orekhov

7 papers hereh-index 344.8k citations97 works total

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

author position
  • middle author3
  • last author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • physics.med-ph2
  • q-bio.BM2
  • cs.LG1
  • physics.chem-ph1
  • physics.data-an1
same name
  • V. Orekhov — 26 papers, h 15
  • V. Orekhov — 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
20192022
most citedA Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy

46 citations · 89 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.LG2020★ 46 cited

A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy

Zi Wang, Di Guo, Zhangren Tu +9

The non-uniform sampling is a powerful approach to enable fast acquisition but requires sophisticated reconstruction algorithms. Faithful reconstruction from partial sampled expone…

physics.data-an2020

Resolution Enhancement in Protein NMR Spectra by Deconvolution with Compressed Sensing Reconstruction

Krzysztof Kazimierczuk, Paweł Kasprzak, Panagiota S. Georgoulia +6

Multidimensional NMR spectroscopy is one of the basic tools for determining the structure of biomolecules. Unfortunately, the resolution of the spectra is often limited by inter-nu…

physics.med-ph2020★ 1 cited

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy

Dicheng Chen, Zi Wang, Di Guo +2

Since the concept of Deep Learning (DL) was formally proposed in 2006, it had a major impact on academic research and industry. Nowadays, DL provides an unprecedented way to analyz…

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