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Chaoyu Chen

17 papers hereh-index 11340 citations27 works total

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

author position
  • first author5
  • middle author12

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • eess.IV8
  • cs.LG1
same name
  • Chaoyu Chen — 33 papers, h 41
  • Chaoyu Chen — 9 papers, h 5
  • Chaoyu Chen — 6 papers, h 8
  • Chaoyu Chen — 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
20202025
most citedSegment Anything Model for Medical Images?

502 citations · 542 across the 12 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

4 papers · 2 filters

cs.CV2021

Flip Learning: Erase to Segment

Yuhao Huang, Xin Yang, Yuxin Zou +7

Nodule segmentation from breast ultrasound images is challenging yet essential for the diagnosis. Weakly-supervised segmentation (WSS) can help reduce time-consuming and cumbersome…

cs.CV2021

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Shuangchi He, Zehui Lin, Xin Yang +13

Standard plane recognition plays an important role in prenatal ultrasound (US) screening. Automatically recognizing the standard plane along with the corresponding anatomical struc…

cs.CV2021★ 4 cited

Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound

Xin Yang, Yuhao Huang, Ruobing Huang +10

3D ultrasound (US) has become prevalent due to its rich spatial and diagnostic information not contained in 2D US. Moreover, 3D US can contain multiple standard planes (SPs) in one…

cs.CV2021★ 28 cited

Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images

Guang-Quan Zhou, Juzheng Miao, Xin Yang +7

Automatic and accurate detection of anatomical landmarks is an essential operation in medical image analysis with a multitude of applications. Recent deep learning methods have imp…

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