Evaluates learned representations (vision foundation models) as failure-prediction proxies for choroid segmentation quality gating vs. scalar image-quality metrics — accepted, IEEE Healthcom 2026 main track.
Aug 9, 2026
Device-reported OCT image quality scores don't predict segmentation performance; introduces a task-specific, EMD-based boundary quality metric instead.
May 17, 2026
Deep-learning segmentation and quantification of the ellipsoid zone and RPE–Bruch's membrane complex in healthy and geographic atrophy OCT — co-first author.
Apr 1, 2026

Experimenting boundary vs masks segmentations.
Jun 22, 2025
Retinal sublayer segmentation using deep learning on OCT B-Scans, comparing multilayer masks and boundary labels.
Jan 1, 2024

Robust retinal layer segmentation using deep learning approaches. Demo.
Jan 1, 2024

Explaining hypergraph neural networks
Jan 1, 2024
Commercial Choroid Segmentation: From Research to Clinical Reality Introduction The journey of developing a comprehensive choroidal analysis platform began with a vision: to bridge the gap between advanced research and real-world clinical needs. Our team set out to create a solution that would not only push the boundaries of AI-powered image analysis but also deliver tangible value to clinicians and patients worldwide.
Oct 26, 2023
Robust retinal layer segmentation using OCT B-scans with Pix2Pix GAN.
Jan 1, 2023