Listar por autor "Rouco, J."
Mostrando ítems 21-40 de 42
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Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography
Moura, Joaquim de; Vidal, Plácido; Novo Buján, Jorge; Rouco, J.; Ortega Hortas, Marcos (Elsevier B.V., 2017)[Abstract]: Optical Coherence Tomography (OCT) is, nowadays, a clinical standard imaging technique in opthalmology as it provides more information than other classical modalities as can be, for instance, retinographies. ... -
Fluid Region Analysis and Identification via Optical Coherence Tomography Image Samples
Vidal, Plácido; Moura, Joaquim de; Novo Buján, Jorge; Rouco, J.; Ortega Hortas, Marcos (MDPI, 2018)[Abstract]: The work herein proposed presents a methodology which aims to identify cystoid regions using OCT scans. This method obtained satisfactory results detecting cystoid regions with different levels of complexity ... -
Fully automatic detection and classification of phytoplankton specimens in digital microscopy images
Rivas-Villar, David; Rouco, J.; Carballeira, Rafael; Penedo, Manuel; Novo Buján, Jorge (Elsevier, 2021-03)[Abstract]: Background and objective: The proliferation of toxin-producing phytoplankton species can compromise the quality of the water sources. This contamination is difficult to detect, and consequently to be ... -
Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information
Ramos, Lucía; Novo Buján, Jorge; Rouco, J.; Romeo Villadoniga, Stephanie; Álvarez Días, María Dolores; Ortega Hortas, Marcos (MDPI AG, 2020-08-21)[Abstract] The fundus of the eye is the only part of the human body that allows a direct non-invasive observation of the circulatory system. Retinal vascular tortuosity presents a valuable potential for diagnostic and ... -
Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers
Mondéjar-Guerra, Víctor; Novo Buján, Jorge; Rouco, J.; Penedo, Manuel; Ortega Hortas, Marcos (Elsevier, 2019-01)[Abstract]: A method for the automatic classification of electrocardiograms (ECG) based on the combination of multiple Support Vector Machines (SVMs) is presented in this work. The method relies on the time intervals between ... -
Intraretinal Fluid Pattern Characterization in Optical Coherence Tomography Images
Moura, Joaquim de; Vidal, Plácido; Novo Buján, Jorge; Rouco, J.; Penedo, Manuel; Ortega Hortas, Marcos (MDPI AG, 2020-04-03)[Abstract] Optical Coherence Tomography (OCT) has become a relevant image modality in the ophthalmological clinical practice, as it offers a detailed representation of the eye fundus. This medical imaging modality is ... -
Joint keypoint detection and description network for color fundus image registration
Rivas-Villar, David; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge (AME Publishing Company, 2023-07-01)[Absctract]: Background: Retinal imaging is widely used to diagnose many diseases, both systemic and eye-specific. In these cases, image registration, which is the process of aligning images taken from different viewpoints ... -
Joint Optic Disc and Cup Segmentation Using Self-Supervised Multimodal Reconstruction Pre-Training
Hervella, Álvaro S.; Ramos, Lucía; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI AG, 2020-08-20)[Abstract] The analysis of the optic disc and cup in retinal images is important for the early diagnosis of glaucoma. In order to improve the joint segmentation of these relevant retinal structures, we propose a novel ... -
Learning the Retinal Anatomy From Scarce Annotated Data Using Self-Supervised Multimodal Reconstruction
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier BV, 2020-03-13)[Abstract] Deep learning is becoming the reference paradigm for approaching many computer vision problems. Nevertheless, the training of deep neural networks typically requires a significantly large amount of annotated ... -
Multi-Adaptive Optimization for multi-task learning with deep neural networks
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier B.V., 2024-02)[Abstract]: Multi-task learning is a promising paradigm to leverage task interrelations during the training of deep neural networks. A key challenge in the training of multi-task networks is to adequately balance the ... -
Multi-expert analysis and validation of objective vascular tortuosity measurements
Ramos, Lucía; Novo Buján, Jorge; Rouco, J.; Romeo, S.; Álvarez, M. D.; Ortega Hortas, Marcos (Elsevier, 2018)[Absctract]: The retinal vascular tortuosity is a commonly used parameter for the early diagnosis of several diseases that affects the circulatory system. The manual analysis of fundus images for the tortuosity characterization ... -
Multimodal Image Encoding Pre-training for Diabetic Retinopathy Grading
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2022)[Abstract] Diabetic retinopathy is an increasingly prevalent eye disorder that can lead to severe vision impairment. The severity grading of the disease using retinal images is key to provide an adequate treatment. However, ... -
Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2018)[Absctract]: The analysis of different image modalities is frequently performed in ophthalmology as it provides complementary information for the diagnosis and follow-up of relevant diseases, like hypertension or diabetes. ... -
Paired and Unpaired Deep Generative Models on Multimodal Retinal Image Reconstruction
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (M D P I AG, 2019-08-07)[Abstract] This work explores the use of paired and unpaired data for training deep neural networks in the multimodal reconstruction of retinal images. Particularly, we focus on the reconstruction of fluorescein angiography ... -
Phytoplankton detection and recognition in freshwater digital microscopy images using deep learning object detectors
Figueroa, Jorge; Rivas-Villar, David; Rouco, J.; Novo Buján, Jorge (Elsevier, 2024-02-15)[Absctract]: Water quality can be negatively affected by the presence of some toxic phytoplankton species, whose toxins are difficult to remove by conventional purification systems. This creates the need for periodic ... -
Retinal Microaneurysms Detection Using Adversarial Pre-training With Unlabeled Multimodal Images
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2022)[Abstract] The detection of retinal microaneurysms is crucial for the early detection of important diseases such as diabetic retinopathy. However, the detection of these lesions in retinography, the most widely available ... -
Retinal vascular tortuosity assessment: Inter-intra expert analysis and correlation with computational measurements
Ramos, Lucía; Novo Buján, Jorge; Rouco, J.; Romeo Villadoniga, Stephanie; Álvarez Días, María Dolores; Ortega Hortas, Marcos (BioMed Central, 2018-11-20)[Abstract]: Background: The retinal vascular tortuosity can be a potential indicator of relevant vascular and non-vascular diseases. However, the lack of a precise and standard guide for the tortuosity evaluation hinders ... -
Retinal Vasculature Identification and Characterization Using OCT Imaging
Moura, Joaquim de; Novo Buján, Jorge; Rouco, J.; Barreira, Noelia; Penedo, Manuel; Ortega Hortas, Marcos (IntechOpen, 2018)[Absctract]: The eye fundus is the part of the human body where the blood vessels can be directly observed and studied. For this reason, the analysis and diagnosis of many relevant diseases that affect the circulatory ... -
Self-Supervised Multimodal Reconstruction of Retinal Images Over Paired Datasets
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier Ltd, 2020-12-15)[Abstract] Data scarcity represents an important constraint for the training of deep neural networks in medical imaging. Medical image labeling, especially if pixel-level annotations are required, is an expensive task ... -
Self-Supervised Multimodal Reconstruction Pre-training for Retinal Computer-Aided Diagnosis
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2021)[Abstract] Computer-aided diagnosis using retinal fundus images is crucial for the early detection of many ocular and systemic diseases. Nowadays, deep learning-based approaches are commonly used for this purpose. However, ...