Scott A. Read

According to our database, Scott A. Read authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

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

Neural Comput. Appl., October, 2024

A Variational Autoencoder Approach for Blink Detection in Mobile Eye Tracking Devices.

Mahdi Heravian Shandiz, David Alonso-Caneiro, Scott A. Read, Michael J. Collins

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

Speckle Feature Classification for Optical Coherence Tomography Flow Rate Assessment.

Samaneh Hashemi, David Alonso-Caneiro, Michael J. Collins, Scott A. Read, Zhiyong Li

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

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

Comput. Vis. Image Underst., December, 2023

2022

OCT Retinal and Choroidal Layer Instance Segmentation Using Mask R-CNN.

Ignacio A. Viedma, David Alonso-Caneiro, Scott A. Read, Michael J. Collins

Sensors, 2022

Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey.

Ignacio A. Viedma, David Alonso-Caneiro, Scott A. Read, Michael J. Collins

Neurocomputing, 2022

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

Neural Comput. Appl., 2021

OCT retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic segmentation.

Ignacio A. Viedma, David Alonso-Caneiro, Scott A. Read, Michael J. Collins

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

OCT chorio-retinal segmentation with adversarial loss.

Jason Kugelman, David Alonso-Caneiro, Scott A. Read, Stephen J. Vincent, Michael J. Collins

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Use of uncertainty quantification as a surrogate for layer segmentation error in Stargardt disease retinal OCT images.

David Alonso-Caneiro, Jason Kugelman, Janelle Tong, Michael Kalloniatis, Fred K. Chen, Scott A. Read, Michael J. Collins

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

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

IEEE Access, 2020

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

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019

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

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018

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

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018