Browsing by Author "Rouco, J."
Now showing items 1-20 of 20
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Automatic Detection of Freshwater Phytoplankton Specimens in Conventional Microscopy Images
Rivas-Villar, David; Rouco, J.; Penedo, Manuel; Carballeira, Rafael; Novo Buján, Jorge (MDPI AG, 2020-11-23)[Abstract] Water safety and quality can be compromised by the proliferation of toxin-producing phytoplankton species, requiring continuous monitoring of water sources. This analysis involves the identification and counting ... -
Automatic Pipeline for Detection and Classification of Phytoplankton Specimens in Digital Microscopy Images of Freshwater Samples
Rivas-Villar, David; Rouco, J.; Carballeira, Rafael; Penedo, Manuel; Novo Buján, Jorge (MDPI, 2021)[Abstract] Phytoplankton blooming can compromise the quality of the water and its safety due to the negative effects of the toxins that some species produce. Therefore, the continuous monitoring of water sources is typically ... -
Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima–Media Thickness Measurement Systems and Their Clinical Impact
Meiburger, Kristen M.; Zahnd, Guillaume; Faita, Francesco; Loizou, Christos P.; Carvalho, Catarina; Steinman, David A.; Gibello, Lorenzo; Bruno, Rosa Maria; Marzola, Francesco; Clarenbach, Ricarda; Francesconi, Martina; Nicolaides, Andrew; Campilho, Aurélio; Ghotbi, Reza; Kyriacou, Efthyvoulos; Navab, Nassir; Griffin, Maura; Panayiotou, Andrie; Gherardini, Rachele; Varetto, Gianfranco; Bianchini, Elisabetta; Pattichis, Constantinos; Ghiadoni, Lorenzo; Molinari, Filippo; Rouco, J.; Molinari, Filippo (Elsevier, 2021)[Abstract] Common carotid intima–media thickness (CIMT) is a commonly used marker for atherosclerosis and is often computed in carotid ultrasound images. An analysis of different computerized techniques for CIMT measurement ... -
Color Fundus Image Registration Using a Learning-Based Domain-Specific Landmark Detection Methodology
Rivas-Villar, David; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge (Elsevier, 2022)[Abstract] Medical imaging, and particularly retinal imaging, allows to accurately diagnose many eye pathologies as well as some systemic diseases such as hypertension or diabetes. Registering these images is crucial to ... -
Computational assessment of the retinal vascular tortuosity integrating domain-related information
Ramos, Lucía; Novo Buján, Jorge; Rouco, J.; Romeo, S.; Álvarez, M. D.; Ortega Hortas, Marcos (Nature Research, 2019-12-27)[Abstract] The retinal vascular tortuosity presents a valuable potential as a clinical biomarker of many relevant vascular and systemic diseases. Commonly, the existent approaches face the tortuosity quantification by means ... -
Context encoder transfer learning approaches for retinal image analysis
Iglesias Morís, Daniel; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier Ltd, 2023-01)[Abstract]: During the last years, deep learning techniques have emerged as powerful alternatives to solve biomedical image analysis problems. However, the training of deep neural networks usually needs great amounts of ... -
Deep Multi-Segmentation Approach for the Joint Classification and Segmentation of the Retinal Arterial and Venous Trees in Color Fundus Images
Morano, José; Hervella, Álvaro S.; Novo Buján, Jorge; Rouco, J. (MDPI, 2021)[Abstract] The analysis of the retinal vasculature represents a crucial stage in the diagnosis of several diseases. An exhaustive analysis involves segmenting the retinal vessels and classifying them into veins and arteries. ... -
End-To-End Multi-Task Learning for Simultaneous Optic Disc and Cup Segmentation and Glaucoma Classification in Eye Fundus Images
Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2022)[Abstract] The automated analysis of eye fundus images is crucial towards facilitating the screening and early diagnosis of glaucoma. Nowadays, there are two common alternatives for the diagnosis of this disease using deep ... -
Enhancing Retinal Blood Vessel Segmentation through Self-Supervised Pre-Training
Morano, José; Hervella, Álvaro S.; Barreira, Noelia; Novo Buján, Jorge; Rouco, J. (MDPI AG, 2020-08-25)[Abstract] The segmentation of the retinal vasculature is fundamental in the study of many diseases. However, its manual completion is problematic, which motivates the research on automatic methods. Nowadays, these methods ... -
Feature Definition and Comprehensive Analysis on the Robust Identification of Intraretinal Cystoid Regions Using Optical Coherence Tomography Images
Moura, Joaquim de; Vidal, Plácido; Novo Buján, Jorge; Rouco, J.; Penedo, Manuel; Ortega Hortas, Marcos (Springer, 2022)[Abstract] Currently, optical coherence tomography is one of the most used medical imaging modalities, offering cross-sectional representations of the studied tissues. This image modality is specially relevant for the ... -
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 ... -
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 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 ... -
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 ... -
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 ... -
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, ... -
Simultaneous Segmentation and Classification of the Retinal Arteries and Veins From Color Fundus Images
Morano, José; Hervella, Álvaro S.; Novo Buján, Jorge; Rouco, J. (Elsevier, 2021)[Abstract] Background and objectives: The study of the retinal vasculature represents a fundamental stage in the screening and diagnosis of many high-incidence diseases, both systemic and ophthalmic. A complete retinal ... -
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning
Morano, José; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Fernández-Vigo, José Ignacio; Ortega Hortas, Marcos (Elsevier Ireland Ltd, 2023-02)[Abstract]: Background and Objectives: Age-related macular degeneration (AMD) is a degenerative disorder affecting the macula, a key area of the retina for visual acuity. Nowadays, AMD is the most frequent cause of blindness ...
