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researcher

Lei Li

19 papers hereh-index 5217.8k citations1.4k works total

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

author position
  • first author6
  • middle author8
  • last author1

Across the 15 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • physics.med-ph3
  • cs.CV2
  • cond-mat.mes-hall1
  • cs.AI1
  • cs.GT1
same name
  • Lei Li — 292 papers, h 52
  • Lei Li — 151 papers, h 7
  • Lei Li — 141 papers
  • Lei Li — 108 papers, h 62
  • Lei Li — 41 papers, h 31
  • Lei Li — 38 papers, h 5

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
20172023
most citedA Sinogram Inpainting Method based on Generative Adversarial Network for Limited-angle Computed Tomography

6 citations · 26 across the 13 of their papers we have counts for

collaborators
Showing physics.med-phShow all

3 papers · 1 filter

physics.med-ph2019★ 2 cited

Projection Super-resolution Based on Convolutional Neural Network for Computed Tomography

Chao Tang, Wenkun Zhang, Ziheng Li +5

The improvement of computed tomography (CT) image resolution is beneficial to the subsequent medical diagnosis, but it is usually limited by the scanning devices and great expense.…

physics.med-ph2019★ 6 cited

A Sinogram Inpainting Method based on Generative Adversarial Network for Limited-angle Computed Tomography

Ziheng Li, Wenkun Zhang, Linyuan Wang +4

Limited-angle computed tomography (CT) image reconstruction is a challenging reconstruction problem in the fields of CT. With the development of deep learning, the generative adver…

physics.med-ph2018

Image Domain Dual Material Decomposition for Dual-Energy CT using Butterfly Network

Wenkun Zhang, Hanming Zhang, Linyuan Wang +5

Dual-energy CT (DECT) has been increasingly used in imaging applications because of its capability for material differentiation. However, material decomposition suffers from magnif…

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