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researcher

Yong Du

13 papers hereh-index 101.4k citations20 works total

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

author position
  • middle author3
  • last author10

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • eess.IV10
  • cs.CV3
same name
  • Yong Du — 18 papers, h 13
  • Yong Du — 11 papers, h 4
  • Yong Du — 6 papers, h 9
  • Yong Du — 5 papers, h 4
  • Yong Du — 4 papers, h 3
  • Yong Du — 4 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
20212025
most citedTransMorph: Transformer for unsupervised medical image registration

798 citations · 954 across the 12 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

Pretraining Deformable Image Registration Networks with Random Images

Junyu Chen, Shuwen Wei, Yihao Liu +2

Recent advances in deep learning-based medical image registration have shown that training deep neural networks~(DNNs) does not necessarily require medical images. Previous work sh…

eess.IV2025

Deep learning-derived arterial input function for dynamic brain PET

Junyu Chen, Zirui Jiang, Jennifer M. Coughlin +4

Dynamic positron emission tomography (PET) imaging combined with radiotracer kinetic modeling is a powerful technique for visualizing biological processes in the brain, offering va…

eess.IV2025

Beyond the LUMIR challenge: The pathway to foundational registration models

Junyu Chen, Shuwen Wei, Joel Honkamaa +33

Medical image challenges have played a transformative role in advancing the field, catalyzing innovation and establishing new performance benchmarks. Image registration, a foundati…

eess.IV2025

Correlation Ratio for Unsupervised Learning of Multi-modal Deformable Registration

Xiaojian Chen, Yihao Liu, Shuwen Wei +3

In recent years, unsupervised learning for deformable image registration has been a major research focus. This approach involves training a registration network using pairs of movi…

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