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Junwei Yang

4 papers hereh-index 371 citations9 works total

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

author position
  • first author3
  • middle author1

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

fields
  • eess.IV4
same name
  • Junwei Yang — 10 papers, h 9
  • Junwei Yang — 8 papers, h 5
  • Junwei Yang — 2 papers, h 2
  • Junwei Yang — 1 paper, h 3
  • Junwei Yang — 1 paper, h 5
  • Junwei Yang — 1 paper, 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

most citedMIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution

3 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2023

Unsupervised Adaptive Implicit Neural Representation Learning for Scan-Specific MRI Reconstruction

Junwei Yang, Pietro Liò

In recent studies on MRI reconstruction, advances have shown significant promise for further accelerating the MRI acquisition. Most state-of-the-art methods require a large amount…

eess.IV2023★ 1 cited

Dual-Domain Multi-Contrast MRI Reconstruction with Synthesis-based Fusion Network

Junwei Yang, Pietro Liò

Purpose: To develop an efficient dual-domain reconstruction framework for multi-contrast MRI, with the focus on minimising cross-contrast misalignment in both the image and the fre…

eess.IV2021★ 2 cited

Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI

Junwei Yang, Xiao-Xin Li, Feihong Liu +4

Recent studies on T1-assisted MRI reconstruction for under-sampled images of other modalities have demonstrated the potential of further accelerating MRI acquisition of other modal…

eess.IV2021★ 3 cited

MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution

Jin Zhu, Chuan Tan, Junwei Yang +2

Single image super-resolution (SISR) aims to obtain a high-resolution output from one low-resolution image. Currently, deep learning-based SISR approaches have been widely discusse…

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