David Alonso-Caneiro

Orcid: 0000-0002-7754-6592

According to our database1, David Alonso-Caneiro authored at least 17 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Enhancing OCT patch-based segmentation with improved GAN data augmentation and semi-supervised learning.
Neural Comput. Appl., October, 2024

2023
Enhanced OCT chorio-retinal segmentation in low-data settings with semi-supervised GAN augmentation using cross-localisation.
Comput. Vis. Image Underst., December, 2023

Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance.
Comput. Biol. Medicine, 2023

2022
OCT Retinal and Choroidal Layer Instance Segmentation Using Mask R-CNN.
Sensors, 2022

Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey.
Neurocomputing, 2022

2021
Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks.
Neural Comput. Appl., 2021

Detection of clustered anomalies in single-voxel morphometry as a rapid automated method for identifying intracranial aneurysms.
Comput. Medical Imaging Graph., 2021

OCT retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic segmentation.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

OCT chorio-retinal segmentation with adversarial loss.
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.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Effect of Altered OCT Image Quality on Deep Learning Boundary Segmentation.
IEEE Access, 2020

Dual image and mask synthesis with GANs for semantic segmentation in optical coherence tomography.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019
Constructing Synthetic Chorio-Retinal Patches using Generative Adversarial Networks.
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.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2009
Assessment of Tear Film Surface Quality Using Dynamic-Area High-Speed Videokeratoscopy.
IEEE Trans. Biomed. Eng., 2009

2008
Estimating Corneal Surface Topography in Videokeratoscopy in the Presence of Strong Signal Interference.
IEEE Trans. Biomed. Eng., 2008

Computationally efficient interference detection in videokeratoscopy images.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008


  Loading...