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Weiwen Wu

19 papers hereh-index 251.9k citations62 works total

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

author position
  • first author10
  • middle author7
  • last author1

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • eess.IV11
  • cs.CV4
  • physics.med-ph2
  • cs.LG1
  • q-bio.QM1
same name
  • Weiwen Wu — 7 papers, h 12
  • Weiwen Wu — 2 papers
  • Weiwen Wu — 2 papers, h 2

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
20162023
most citedTwo-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse Problems

17 citations · 31 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

eess.IV2021

Multi-domain Integrative Swin Transformer network for Sparse-View Tomographic Reconstruction

Jiayi Pan, Heye Zhang, Weifei Wu +2

Decreasing projection views to lower X-ray radiation dose usually leads to severe streak artifacts. To improve image quality from sparse-view data, a Multi-domain Integrative Swin…

q-bio.QM2021

Stationary Multi-source AI-powered Real-time Tomography (SMART)

Weiwen Wu, Yaohui Tang, Tianling Lv +6

Over the past decades, the development of CT technologies has been largely driven by the needs for cardiac imaging but the temporal resolution remains insufficient for clinical CT…

eess.IV2021★ 3 cited

AI-Enabled Ultra-Low-Dose CT Reconstruction

Weiwen Wu, Chuang Niu, Shadi Ebrahimian +3

By the ALARA (As Low As Reasonably Achievable) principle, ultra-low-dose CT reconstruction is a holy grail to minimize cancer risks and genetic damages, especially for children. Wi…

eess.IV2021

Deep Iteration Assisted by Multi-level Obey-pixel Network Discriminator (DIAMOND) for Medical Image Recovery

Moran Xu, Dianlin Hu, Weifei Wu +1

Image restoration is a typical ill-posed problem, and it contains various tasks. In the medical imaging field, an ill-posed image interrupts diagnosis and even following image proc…

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