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Yongjie Li

3 papers hereh-index 234 citations5 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV1
same name
  • Yongjie Li — 3 papers, h 23
  • Yongjie Li — 2 papers, h 1
  • Yongjie Li — 2 papers, h 1
  • Yongjie Li — 2 papers, h 1
  • Yongjie Li — 1 paper, h 3
  • Yongjie Li — 1 paper, h 3

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 citedBeyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2026★ 1 cited

Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos

Jieyun Bai, Zihao Zhou, Yitong Tang +60

A substantial proportion (45\%) of maternal deaths, neonatal deaths, and stillbirths occur during the intrapartum phase, with a particularly high burden in low- and middle-income c…

cs.CV2024

VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation

Xi Lin, Shixuan Zhao, Xinxu Wei +2

3D microscopic cerebrovascular images are characterized by their high resolution, presenting significant annotation challenges, large data volumes, and intricate variations in deta…

eess.IV2024

Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning

Xinxu Wei, Xi Lin, Haiyun Liu +2

Effective retinal vessel segmentation requires a sophisticated integration of global contextual awareness and local vessel continuity. To address this challenge, we propose the Gra…

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