关注
Álvaro S. Hervella
Álvaro S. Hervella
University of A Coruña, CITIC Research Center, INIBIC Research Institute
在 udc.es 的电子邮件经过验证
标题
引用次数
引用次数
年份
End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images
ÁS Hervella, J Rouco, J Novo, M Ortega
Applied Soft Computing 116, 108347, 2022
582022
Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement
ÁS Hervella, J Rouco, J Novo, M Ortega
Procedia Computer Science 126, 97-104, 2018
532018
Retinal image understanding emerges from self-supervised multimodal reconstruction
ÁS Hervella, J Rouco, J Novo, M Ortega
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
492018
Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images
ÁS Hervella, J Rouco, J Novo, MG Penedo, M Ortega
Computer Methods and Programs in Biomedicine 186, 105201, 2020
442020
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images
J Morano, ÁS Hervella, J Novo, J Rouco
Artificial Intelligence in Medicine 118, 102116, 2021
342021
Self-supervised multimodal reconstruction of retinal images over paired datasets
ÁS Hervella, J Rouco, J Novo, M Ortega
Expert Systems with Applications 161, 113674, 2020
322020
Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction
ÁS Hervella, J Rouco, J Novo, M Ortega
Applied Soft Computing 91, 106210, 2020
322020
Multi-modal self-supervised pre-training for joint optic disc and cup segmentation in eye fundus images
ÁS Hervella, L Ramos, J Rouco, J Novo, M Ortega
ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020
302020
Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images
ÁS Hervella, J Rouco, J Novo, M Ortega
Information Fusion 79, 146-161, 2022
272022
Color fundus image registration using a learning-based domain-specific landmark detection methodology
D Rivas-Villar, ÁS Hervella, J Rouco, J Novo
Computers in Biology and Medicine 140, 105101, 2022
232022
Self-supervised deep learning for retinal vessel segmentation using automatically generated labels from multimodal data
ÁS Hervella, J Rouco, J Novo, M Ortega
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
202019
Deep multimodal reconstruction of retinal images using paired or unpaired data
AS Hervella, J Rouco, J Novo, M Ortega
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
182019
Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis
ÁS Hervella, J Rouco, J Novo, M Ortega
Expert Systems with Applications 185, 115598, 2021
152021
Multimodal image encoding pre-training for diabetic retinopathy grading
AS Hervella, J Rouco, J Novo, M Ortega
Computers in Biology and Medicine 143, 105302, 2022
142022
Multimodal transfer learning-based approaches for retinal vascular segmentation
J Morano, ÁS Hervella, N Barreira, J Novo, J Rouco
ECAI 2020, 1866-1873, 2020
122020
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning
J Morano, ÁS Hervella, J Rouco, J Novo, JI Fernández-Vigo, M Ortega
Computer Methods and Programs in Biomedicine 229, 107296, 2023
102023
Joint keypoint detection and description network for color fundus image registration
D Rivas-Villar, ÁS Hervella, J Rouco, J Novo
Quantitative Imaging in Medicine and Surgery 13 (7), 4540, 2023
62023
Multi-Adaptive Optimization for multi-task learning with deep neural networks
ÁS Hervella, J Rouco, J Novo, M Ortega
Neural Networks 170, 254-265, 2024
42024
Context encoder transfer learning approaches for retinal image analysis
DI Moris, AS Hervella, J Rouco, J Novo, M Ortega
Computers in Biology and Medicine 152, 106451, 2023
22023
Context encoder self-supervised approaches for eye fundus analysis
DI Morís, ÁS Hervella, J Rouco, J Novo, M Ortega
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
22021
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