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Junyu Chen

13 papers hereh-index 575 citations18 works total

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

author position
  • first author7
  • middle author5
  • last author1

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

fields
  • eess.IV8
  • cs.CV4
  • cond-mat.soft1
same name
  • Junyu Chen — 11 papers, h 12
  • Junyu Chen — 11 papers, h 11
  • Junyu Chen — 5 papers, h 5
  • Junyu Chen — 4 papers, h 4
  • Junyu Chen — 4 papers, h 3
  • Junyu Chen — 3 papers, h 1

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
20242026
most citedVector Field Attention for Deformable Image Registration

2 citations · 4 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025★ 1 cited

The Brain Resection Multimodal Image Registration (ReMIND2Reg) 2025 Challenge

Reuben Dorent, Laura Rigolo, Colin P. Galvin +8

Accurate intraoperative image guidance is critical for achieving maximal safe resection in brain tumor surgery, yet neuronavigation systems based on preoperative MRI lose accuracy…

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…

cs.CV2024

Unsupervised learning of spatially varying regularization for diffeomorphic image registration

Junyu Chen, Shuwen Wei, Yihao Liu +5

Spatially varying regularization accommodates the deformation variations that may be necessary for different anatomical regions during deformable image registration. Historically,…

cs.CV2024★ 2 cited

Vector Field Attention for Deformable Image Registration

Yihao Liu, Junyu Chen, Lianrui Zuo +2

Deformable image registration establishes non-linear spatial correspondences between fixed and moving images. Deep learning-based deformable registration methods have been widely s…

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