Browsing by Author "Rivas-Villar, David"
Now showing items 1-9 of 9
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Automated inter-device 3D OCT image registration using deep learning and retinal layer segmentation
Rivas-Villar, David; Motschi, Alice R.; Pircher, Michael; Hitzenberger, Christoph; Schranz, Markus; Roberts, Philipp K.; Schmidt-Erfurth, Ursula; Bogunović, Hrvoje (Optica Publishing Group, 2023-07)[Abstract]: Optical coherence tomography (OCT) is the most widely used imaging modality in ophthalmology. There are multiple variations of OCT imaging capable of producing complementary information. Thus, registering these ... -
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 ... -
Automatic system for the detection and recognition of phytoplankton in digital microscope imaging
Rivas-Villar, David (2019-08)[Abstract] The quality of water can be compromised by the proliferation of toxic species of phytoplankton. When these blooms occur in rivers and reservoirs used for the water supply, this event can have a negative impact ... -
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 ... -
ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration
Rivas-Villar, David; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge (Springer, 2024-07)[Abstract]: Retinal image registration is of utmost importance due to its wide applications in medical practice. In this context, we propose ConKeD, a novel deep learning approach to learn descriptors for retinal image ... -
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 ... -
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 ... -
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 ...