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researcher

Ziyi Huang

4 papers hereh-index 225 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.IV4
same name
  • Ziyi Huang — 7 papers, h 4
  • Ziyi Huang — 3 papers, h 6
  • Ziyi Huang — 3 papers, h 1
  • Ziyi Huang — 1 paper, h 0
  • Ziyi Huang — 1 paper, h 0

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

collaborators

4 papers

eess.IV2026

Real-time topology-aware M-mode OCT segmentation for robotic deep anterior lamellar keratoplasty (DALK) guidance

Rosalinda Xiong, Jinglun Yu, Yaning Wang +2

Robotic deep anterior lamellar keratoplasty (DALK) requires accurate real time depth feedback to approach Descemet's membrane (DM) without perforation. M-mode intraoperative optica…

eess.IV2026

Super-Resolution and Denoising of Corneal B-Scan OCT Imaging Using Diffusion Model Plug-and-Play Priors

Yaning Wang, Jinglun Yu, Wenhan Guo +4

Optical coherence tomography (OCT) is pivotal in corneal imaging for both surgical planning and diagnosis. However, high-speed acquisitions often degrade spatial resolution and inc…

eess.IV2026

Wide-field high-resolution microscopy via high-speed galvo scanning and real-time mosaicking

Ziyi Huang, Rosalinda Xiong, Yaning Wang +2

Wide-field high-resolution microscopy requires fast scanning and accurate image mosaicking to cover large fields of view without compromising image quality. However, conventional g…

eess.IV2026

Physics-based generation of multilayer corneal OCT data via Gaussian modeling and MCML for AI-driven diagnostic and surgical guidance applications

Jinglun Yu, Yaning Wang, Rosalinda Xiong +3

Training deep learning models for corneal optical coherence tomography (OCT) imaging is limited by the availability of large, well-annotated datasets. We present a configurable Mon…

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