9 papers
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…
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…
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…
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…
End-to-end reconstruction of OCT optical properties and speckle-reduced structural intensity via physics-based learning
Jinglun Yu, Yaning Wang, Wenhan Guo +3
Inverse scattering in optical coherence tomography (OCT) seeks to recover both structural images and intrinsic tissue optical properties, including refractive index, scattering coe…
PSI3D: Plug-and-Play 3D Stochastic Inference with Slice-wise Latent Diffusion Prior
Wenhan Guo, Jinglun Yu, Yaning Wang +2
Diffusion models are highly expressive image priors for Bayesian inverse problems. However, most diffusion models cannot operate on large-scale, high-dimensional data due to high t…
Super-Resolution Optical Coherence Tomography Using Diffusion Model-Based Plug-and-Play Priors
Yaning Wang, Jinglun Yu, Wenhan Guo +2
We propose an OCT super-resolution framework based on a plug-and-play diffusion model (PnP-DM) to reconstruct high-quality images from sparse measurements (OCT B-mode corneal image…
Kalman filter/deep-learning hybrid automatic boundary tracking of optical coherence tomography data for deep anterior lamellar keratoplasty (DALK)
Hongrui Yi, Jinglun Yu, Yaning Wang +4
Deep anterior lamellar keratoplasty (DALK) is a highly challenging partial thickness cornea transplant surgery that replaces the anterior cornea above Descemet's membrane (DM) with…
Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data
J. Yu, H. Yi, Y. Wang +4
Deep Anterior Lamellar Keratoplasty (DALK) is a partial-thickness corneal transplant procedure used to treat corneal stromal diseases. A crucial step in this procedure is the preci…