OCT

Task-Specific Quality Gating for Retinal Optical Coherence Tomography B-Scans: Learned Representations Over Scalar Metrics in Choroid Segmentation

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

Evaluating OCT Device-Reported Image Quality Score: Towards a Task-Specific Quality Gate for Deep Learning-based Outer-Retina and Choroid Boundary Segmentation

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–Based Automated Segmentation and Quantification of Ellipsoid Zone and RPE–Bruch's Membrane Complex in Healthy Subjects and Geographic Atrophy

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

Synthetic Ground-truth Image-based Drusen Segmentation in OCT Images: A Novel Approach Based on Sinusoidal Image Deformations and Generative Adversarial Networks

Synthetic ground-truth drusen segmentation in OCT via sinusoidal deformations + GANs — annotation-free training pipeline.

Jun 1, 2025

Deep-Learning-Based Choroid Vessel Segmentation Using Feature Maps of ResUNet GAN Autoencoder Architecture

Choroid vessel segmentation in OCT using ResUNet GAN autoencoder feature maps — supports automated CVI estimation.

Jun 1, 2025

Retinal sublayer segmentation based on deep learning using optical coherence tomography B-Scans: Training multilayer masks vs boundary labels

Retinal sublayer segmentation using deep learning on OCT B-Scans, comparing multilayer masks and boundary labels.

Jan 1, 2024