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Jing Cheng

27 papers hereh-index 141.1k citations95 works total

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

author position
  • first author2
  • middle author23

Across the 25 of 27 papers where every author was matched, so the position is known.

fields
  • eess.IV16
  • cs.CV7
  • physics.med-ph2
  • cs.LG1
  • math.OC1
same name
  • Jing Cheng — 10 papers, h 2
  • Jing Cheng — 9 papers, h 14
  • Jing Cheng — 4 papers, h 4
  • Jing Cheng — 4 papers, h 2
  • Jing Cheng — 4 papers, h 3
  • Jing Cheng — 3 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
20192025
most citedDeep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks

38 citations · 123 across the 27 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CV2023★ 3 cited

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation

Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan +11

In the field of parallel imaging (PI), alongside image-domain regularization methods, substantial research has been dedicated to exploring k-space interpolation. However, the int…

eess.IV2023★ 1 cited

Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI

Zhuo-Xu Cui, Congcong Liu, Chentao Cao +6

Magnetic resonance imaging (MRI) is known to have reduced signal-to-noise ratios (SNR) at lower field strengths, leading to signal degradation when producing a low-field MRI image…

cs.CV2023

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI

Zhuo-Xu Cui, Chentao Cao, Yue Wang +6

Diffusion models have emerged as a leading methodology for image generation and have proven successful in the realm of magnetic resonance imaging (MRI) reconstruction. However, exi…

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