María Luisa Sánchez Brea

Orcid: 0000-0002-4061-4846

Affiliations:
  • Erasmus MC, Rotterdam, The Netherlands


According to our database1, María Luisa Sánchez Brea authored at least 17 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging.
Comput. Medical Imaging Graph., September, 2023

Comparison of different retinal regions-of-interest imaged by OCT for the classification of intermediate AMD.
CoRR, 2023

2022
Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review.
Comput. Methods Programs Biomed., 2022

Motion correction in retinal optical coherence tomography imaging using deep learning registration.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2020
Deep learning-based retinal vessel segmentation with cross-modal evaluation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2018
Precise segmentation of the bulbar conjunctiva for hyperaemia images.
Pattern Anal. Appl., 2018

2017
Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Defining the Optimal Region of Interest for Hyperemia Grading in the Bulbar Conjunctiva.
Comput. Math. Methods Medicine, 2016

On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings.
Artif. Intell. Medicine, 2016

On the analysis of local and global features for hyperemia grading.
Proceedings of the Ninth International Conference on Machine Vision, 2016

Comparing Machine Learning Techniques in a Hyperemia Grading Framework.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

On the analysis of feature selection techniques in a conjunctival hyperemia grading framework.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
A Novel Framework for Hyperemia Grading Based on Artificial Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2015

Automatic Selection of Video Frames for Hyperemia Grading.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

2014
Computer Aided Diagnosis System for Retinal Analysis: Automatic Assessment of the Vascular Tortuosity.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Automatic identification of vessel crossovers in retinal images.
Proceedings of the Seventh International Conference on Machine Vision, 2014

2013
Unified methodology for evaluating vessel tree tortuosity metrics in eye fundus images.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013


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