Argitalpenak (104) Rafael Verdú Monedero argitalpenak Ikerketa datu erreferentziatuak ikusi.

2024

  1. Correction to: PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment (Scientific Data, (2022), 9, 1, (291), 10.1038/s41597-022-01388-1)

    Scientific Data

2023

  1. A hybrid framework for efficient and accurate orientation estimation based on single and multiple orientation vector fields

    Expert Systems with Applications, Vol. 231

  2. Analysis of the Asymmetry between Both Eyes in Early Diagnosis of Glaucoma Combining Features Extracted from Retinal Images and OCTs into Classification Models

    Sensors, Vol. 23, Núm. 10

  3. Aplicación de MobileNet para el diagnóstico temprano del glaucoma: Un enfoque binocular

    CASEIB 2023. Libro de Actas del XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Contribuyendo a la salud basada en valor

  4. Design of Wide-Beam Leaky-Wave Antenna Arrays Based on the Bilinear Transformation of IIR Digital Filters and the Z Transform

    Advanced Theory and Simulations, Vol. 6, Núm. 12

  5. Métodos de ayuda al diagnóstico de glaucoma basado en diferencias de características extraídas de ambos ojos en tomografías de coherencia óptica

    CASEIB 2023. Libro de Actas del XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Contribuyendo a la salud basada en valor

2022

  1. Analysis of the Asymmetry in RNFL Thickness Using Spectralis OCT Measurements in Healthy and Glaucoma Patients

    Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 507-515

  2. Analysis of the Asymmetry in RNFL Thickness Using Spectralis OCT Measurements in Healthy and Glaucoma Patients

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Decision Trees for Glaucoma Screening Based on the Asymmetry of the Retinal Nerve Fiber Layer in Optical Coherence Tomography

    Sensors, Vol. 22, Núm. 13

  4. Improving Glaucoma Diagnosis Assembling Deep Networks and Voting Schemes

    Diagnostics, Vol. 12, Núm. 6

  5. PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment

    Scientific Data

2021

  1. A SELF-TRAINING FRAMEWORK FOR GLAUCOMA GRADING IN OCT B-SCANS

    European Signal Processing Conference

  2. Automatic segmentation of the retinal nerve fiber layer by means of mathematical morphology and deformable models in 2D optical coherence tomography imaging

    Sensors, Vol. 21, Núm. 23

  3. Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks

    Artificial Intelligence in Medicine, Vol. 118

  4. Direct Synthesis of Accurate Angular Filtering Patterns using Holographic Leaky-Wave Antennas

    15th European Conference on Antennas and Propagation, EuCAP 2021

2020

  1. Detección y segmentación del disco óptico mediante morfología matemática y contornos activos en retinografías de RIMONEr3

    XXXV Simposio Nacional de la Unión Científica Internacional de Radio

  2. Influencia de la presencia de glaucoma en la diferencia de CDR de ambos ojos de un mismo paciente usando retinografías de RIMONEr3

    XXXV Simposio Nacional de la Unión Científica Internacional de Radio

  3. Segmentación automática de instancias aplicada a retinografías para la segmentación del disco óptico y la excavación

    XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas

2019

  1. Análisis de la diferencia de valores de CDR de ambos ojos medido manualmente en retinografías y surelación con la presencia de glaucoma

    Hacia una salud personalizada y universal. XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Actas del Congreso CASEIB 2019

  2. Automatic Measurement of ISNT and CDR on Retinal Images by Means of a Fast and Efficient Method Based on Mathematical Morphology and Active Contours

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)