Automatic Retinal and Choroidal Boundary Segmentation in OCT Images Using Patch-Based Supervised Machine Learning Methods. - David Alonso-Caneiro; Jason Kugelman; Jared Hamwood; Scott A. Read; Stephen J. Vincent; Fred K. Chen; Michael J. Collins 001 (ACCV Workshops, 2018)

Constructing Synthetic Chorio-Retinal Patches using Generative Adversarial Networks. - Jason Kugelman; David Alonso-Caneiro; Scott A. Read; Stephen J. Vincent; Fred K. Chen; Michael J. Collins 001 (DICTA, 2019)

Dual image and mask synthesis with GANs for semantic segmentation in optical coherence tomography. - Jason Kugelman; David Alonso-Caneiro; Scott A. Read; Stephen J. Vincent; Fred K. Chen; Michael J. Collins 001 (DICTA, 2020)

Effect of Altered OCT Image Quality on Deep Learning Boundary Segmentation. - Jason Kugelman; David Alonso-Caneiro; Scott A. Read; Stephen J. Vincent; Fred K. Chen; Michael J. Collins 001 (IEEE Access, 2020)

OCT chorio-retinal segmentation with adversarial loss. - Jason Kugelman; David Alonso-Caneiro; Scott A. Read; Stephen J. Vincent; Michael J. Collins 001 (DICTA, 2021)

Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks. - Jason Kugelman; David Alonso-Caneiro; Scott A. Read; Stephen J. Vincent; Fred K. Chen; Michael J. Collins 001 (Neural Comput. Appl., 2021)

Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance. - Yoel F. Garcia-Marin; David Alonso-Caneiro; Damien Fisher; Stephen J. Vincent; Michael J. Collins 001 (Comput. Biol. Medicine, 2023)

Enhanced OCT chorio-retinal segmentation in low-data settings with semi-supervised GAN augmentation using cross-localisation. - Jason Kugelman; David Alonso-Caneiro; Scott A. Read; Stephen J. Vincent; Michael J. Collins 001 (Comput. Vis. Image Underst., 2023)

Enhancing OCT patch-based segmentation with improved GAN data augmentation and semi-supervised learning. - Jason Kugelman; David Alonso-Caneiro; Scott A. Read; Stephen J. Vincent; Michael J. Collins 001 (Neural Comput. Appl., 2024)