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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 author11
  • middle author7
  • last author1

Across the 19 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 citedNon-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction

77 citations · 183 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

physics.med-ph2020★ 15 cited

Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning

Mengzhou Li, Zheng Fang, Wenxiang Cong +6

While micro-CT systems are instrumental in preclinical research, clinical micro-CT imaging has long been desired with cochlear implantation as a primary example. The structural det…

cs.LG2020★ 8 cited

Suppression of Correlated Noise with Similarity-based Unsupervised Deep Learning

Chuang Niu, Mengzhou Li, Fenglei Fan +4

Image denoising is a prerequisite for downstream tasks in many fields. Low-dose and photon-counting computed tomography (CT) denoising can optimize diagnostic performance at minimi…

eess.IV2020

Deep Learning based Spectral CT Imaging

Weiwen Wu, Dianlin Hu, Chuang Niu +7

Spectral computed tomography (CT) has attracted much attention in radiation dose reduction, metal artifacts removal, tissue quantification and material discrimination. The x-ray en…

eess.IV2020★ 1 cited

Stabilizing Deep Tomographic Reconstruction

Weiwen Wu, Dianlin Hu, Wenxiang Cong +7

Tomographic image reconstruction with deep learning is an emerging field, but a recent landmark study reveals that several deep reconstruction networks are unstable for computed to…

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