Álvaro S. Hervella
Orcid: 0000-0002-9080-9836
According to our database1,
Álvaro S. Hervella
authored at least 23 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Explainable artificial intelligence for the automated assessment of the retinal vascular tortuosity.
Medical Biol. Eng. Comput., 2024
ConKeD: Multiview contrastive descriptor learning for keypoint-based retinal image registration.
CoRR, 2024
2023
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning.
Comput. Methods Programs Biomed., February, 2023
Comput. Biol. Medicine, 2023
2022
Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images.
Inf. Fusion, 2022
Color fundus image registration using a learning-based domain-specific landmark detection methodology.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images.
Appl. Soft Comput., 2022
Improving AMD Diagnosis by the Simultaneous Identification of Associated Retinal Lesions.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
Impact of Increased Centerline Weight on the Joint Segmentation and Classification of Arteries and Veins in Color Fundus Images.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
2021
Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis.
Expert Syst. Appl., 2021
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images.
Artif. Intell. Medicine, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Expert Syst. Appl., 2020
Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images.
Comput. Methods Programs Biomed., 2020
Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction.
Appl. Soft Comput., 2020
Multi-Modal Self-Supervised Pre-Training for Joint Optic Disc and Cup Segmentation in Eye Fundus Images.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data.
Proceedings of the International Joint Conference on Neural Networks, 2019
Impact of the Circular Region of Interest on the Performance of Multimodal Reconstruction of Retinal Images.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019
2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018