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Yuhe Zhang

6 papers hereh-index 8223 citations16 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 6 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • cond-mat.mtrl-sci1
  • physics.ins-det1
same name
  • Yuhe Zhang — 10 papers, h 4
  • Yuhe Zhang — 7 papers
  • Yuhe Zhang — 5 papers, h 1
  • Yuhe Zhang — 4 papers, h 4
  • Yuhe Zhang — 4 papers, h 2
  • Yuhe Zhang — 2 papers, h 8

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
20202023
most citedPhaseGAN: A deep-learning phase-retrieval approach for unpaired datasets

86 citations · 98 across the 6 of their papers we have counts for

collaborators
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2023★ 3 cited

Megahertz X-ray Multi-projection imaging

Pablo Villanueva-Perez, Valerio Bellucci, Yuhe Zhang +21

X-ray time-resolved tomography is one of the most popular X-ray techniques to probe dynamics in three dimensions (3D). Recent developments in time-resolved tomography opened the po…

eess.IV2022

ONIX: an X-ray deep-learning tool for 3D reconstructions from sparse views

Yuhe Zhang, Zisheng Yao, Tobias Ritschel +1

Three-dimensional (3D) X-ray imaging techniques like tomography and confocal microscopy are crucial for academic and industrial applications. These approaches access 3D information…

eess.IV2020★ 1 cited

PyPhase -- a Python package for X-ray phase imaging

Max Langer, Yuhe Zhang, Diogo Figueirinhas +4

X-ray propagation-based imaging techniques are well-established at synchrotron radiation and laboratory sources. However, most reconstruction algorithms for such image modalities,…

eess.IV2020★ 86 cited

PhaseGAN: A deep-learning phase-retrieval approach for unpaired datasets

Yuhe Zhang, Mike Andreas Noack, Patrik Vagovic +4

Phase retrieval approaches based on DL provide a framework to obtain phase information from an intensity hologram or diffraction pattern in a robust manner and in real time. Howeve…

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