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Yu Fang

4 papers hereh-index 8418 citations12 works total

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

author position
  • first author1
  • middle author3

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

fields
  • eess.IV3
  • cs.CV1
same name
  • Yu Fang — 12 papers, h 2
  • Yu Fang — 9 papers, h 6
  • Yu Fang — 4 papers, h 3
  • Yu Fang — 3 papers, h 11
  • Yu Fang — 3 papers, h 1
  • Yu Fang — 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

most citedGeometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction

13 citations · 24 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2023

Multi-View Vertebra Localization and Identification from CT Images

Han Wu, Jiadong Zhang, Yu Fang +4

Accurately localizing and identifying vertebrae from CT images is crucial for various clinical applications. However, most existing efforts are performed on 3D with cropping patch…

cs.CV2023

Construction of unbiased dental template and parametric dental model for precision digital dentistry

Lei Ma, Jingyang Zhang, Ke Deng +8

Dental template and parametric dental models are important tools for various applications in digital dentistry. However, constructing an unbiased dental template and accurate param…

eess.IV2023★ 13 cited

Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction

Zhentao Liu, Yu Fang, Changjian Li +4

Cone Beam Computed Tomography (CBCT) plays a vital role in clinical imaging. Traditional methods typically require hundreds of 2D X-ray projections to reconstruct a high-quality 3D…

eess.IV2022★ 11 cited

SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

Yu Fang, Lanzhuju Mei, Changjian Li +4

Cone beam computed tomography (CBCT) has been widely used in clinical practice, especially in dental clinics, while the radiation dose of X-rays when capturing has been a long conc…

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