Automatic Measurement of ISNT and CDR on Retinal Images by Means of a Fast and Efficient Method Based on Mathematical Morphology and Active Contours. - Rafael Verdú Monedero; Juan Morales-Sánchez; Rafael Berenguer-Vidal; Inmaculada Sellés-Navarro; Ana Palazón-Cabanes (IWINAC (2), 2019)

Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging. - Rafael Berenguer-Vidal; Rafael Verdú Monedero; Juan Morales-Sánchez; Inmaculada Sellés-Navarro; Rocío del Amor; Gabriel García 001; Valery Naranjo (Sensors, 2021)

Analysis of the Asymmetry in RNFL Thickness Using Spectralis OCT Measurements in Healthy and Glaucoma Patients. - Rafael Berenguer-Vidal; Rafael Verdú Monedero; Juan Morales-Sánchez; Inmaculada Sellés-Navarro; Oleksandr Kovalyk (IWINAC (1), 2022)

Decision Trees for Glaucoma Screening Based on the Asymmetry of the Retinal Nerve Fiber Layer in Optical Coherence Tomography. - Rafael Berenguer-Vidal; Rafael Verdú Monedero; Juan Morales-Sánchez; Inmaculada Sellés-Navarro; Oleksandr Kovalyk; José-Luis Sancho-Gómez (Sensors, 2022)

Analysis of the Asymmetry between Both Eyes in Early Diagnosis of Glaucoma Combining Features Extracted from Retinal Images and OCTs into Classification Models. - Francisco Rodríguez-Robles; Rafael Verdú Monedero; Rafael Berenguer-Vidal; Juan Morales-Sánchez; Inmaculada Sellés-Navarro (Sensors, 2023)