Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques. - Arturo Aquino; Manuel Emilio Gegúndez-Arias; Diego Marín (IEEE Trans. Medical Imaging, 2010)

A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features. - Diego Marín; Arturo Aquino; Manuel Emilio Gegúndez-Arias; José Manuel Bravo (IEEE Trans. Medical Imaging, 2011)

A Function for Quality Evaluation of Retinal Vessel Segmentations. - Manuel Emilio Gegúndez-Arias; Arturo Aquino; José Manuel Bravo; Diego Marín (IEEE Trans. Medical Imaging, 2012)

Locating the Optic Disc in Retinal Images Using Morphological Techniques. - Angel Suero; Diego Marín; Manuel Emilio Gegúndez-Arias; José Manuel Bravo (IWBBIO, 2013)

Locating the fovea center position in digital fundus images using thresholding and feature extraction techniques. - Manuel Emilio Gegúndez-Arias; Diego Marín; José Manuel Bravo; Angel Suero (Comput. Medical Imaging Graph., 2013)

Combined stochastic and deterministic interval predictor for time-varying systems. - José Manuel Bravo; Teodoro Alamo; M. E. Gegúndez; Diego Marín (MED, 2015)

Obtaining optic disc center and pixel region by automatic thresholding methods on morphologically processed fundus images. - Diego Marín; Manuel Emilio Gegúndez-Arias; Angel Suero; José Manuel Bravo (Comput. Methods Programs Biomed., 2015)

Inter-observer Reliability and Agreement Study on Early Diagnosis of Diabetic Retinopathy and Diabetic Macular Edema Risk. - Manuel Emilio Gegúndez-Arias; Carlos Ortega; Javier Garrido; Beatriz Ponte; Fatima Alvarez; Diego Marín (IWBBIO, 2016)

Automated Detection of Diabetic Macular Edema Risk in Fundus Images. - Diego Marín; Manuel Emilio Gegúndez-Arias; Carlos Ortega; Javier Garrido; Beatriz Ponte; Fatima Alvarez (IWBBIO, 2016)

Microaneurysm Candidate Extraction Methodology in Retinal Images for the Integration into Classification-Based Detection Systems. - Estefanía Cortés-Ancos; Manuel Emilio Gegúndez-Arias; Diego Marín (IWBBIO (1), 2017)

A tool for automated diabetic retinopathy pre-screening based on retinal image computer analysis. - Manuel Emilio Gegúndez-Arias; Diego Marín; Beatriz Ponte; Fatima Alvarez; Javier Garrido; Carlos Ortega; Manuel Jesús Vasallo Vázquez; José Manuel Bravo (Comput. Biol. Medicine, 2017)

Scheduling in Concentrating Solar Power Plants Based on Model Predictive Control and Binary-Regularization Methods. - Emilian G. Cojocaru; Manuel Vasallo; José Manuel Bravo; Diego Marín (CCTA, 2018)

Scheduling in concentrating solar power plants based on mixed-integer optimization and binary-regularization. - Emilian G. Cojocaru; José Manuel Bravo; Manuel Vasallo; Diego Marín (CDC, 2018)

A lifetime-extending model-based predictive control for scheduling in concentrating solar power plants. - Emilian G. Cojocaru; Manuel Jesús Vasallo Vázquez; José Manuel Bravo; Diego Marín (ICIT, 2018)

Concentrated solar power plant simulator for education purpose. - Emilian G. Cojocaru; Manuel Vasallo; José Manuel Bravo; Diego Marín (ICIT, 2018)

An exudate detection method for diagnosis risk of diabetic macular edema in retinal images using feature-based and supervised classification. - Diego Marín; Manuel Emilio Gegúndez-Arias; Beatriz Ponte; Fatima Alvarez; Javier Garrido; Carlos Ortega; Manuel Jesús Vasallo Vázquez; José Manuel Bravo (Medical Biol. Eng. Comput., 2018)

A fast and accurate deep learning method for strawberry instance segmentation. - Isaac Pérez-Borrero; Diego Marín-Santos; Manuel Emilio Gegúndez-Arias; Estefanía Cortés-Ancos (Comput. Electron. Agric., 2020)

A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model. - Manuel Emilio Gegúndez-Arias; Diego Marín-Santos; Isaac Pérez-Borrero; Manuel Jesús Vasallo Vázquez (Comput. Methods Programs Biomed., 2021)

Application of data-based solar field models to optimal generation scheduling in concentrating solar power plants. - Manuel Jesús Vasallo Vázquez; Emilian Gelu Cojocaru; Manuel Emilio Gegúndez; Diego Marín (Math. Comput. Simul., 2021)

A new deep-learning strawberry instance segmentation methodology based on a fully convolutional neural network. - Isaac Pérez-Borrero; Diego Marín-Santos; Manuel Jesús Vasallo Vázquez; Manuel Emilio Gegúndez-Arias (Neural Comput. Appl., 2021)

Automatic detection of crohn disease in wireless capsule endoscopic images using a deep convolutional neural network. - Diego Marín-Santos; Juan A. Contreras-Fernandez; Isaac Pérez-Borrero; Hector Pallares-Manrique; Manuel E. Gegundez-Arias (Appl. Intell., 2023)