Publicacions (45) Publicacions de DIEGO MARIN SANTOS

2023

  1. Automatic detection of crohn disease in wireless capsule endoscopic images using a deep convolutional neural network

    Applied Intelligence, Vol. 53, Núm. 10, pp. 12632-12646

2021

  1. A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model

    Computer Methods and Programs in Biomedicine, Vol. 205

  2. A new deep-learning strawberry instance segmentation methodology based on a fully convolutional neural network

    Neural Computing and Applications, Vol. 33, Núm. 22, pp. 15059-15071

  3. Application of data-based solar field models to optimal generation scheduling in concentrating solar power plants

    Mathematics and Computers in Simulation, Vol. 190, pp. 1130-1149

2020

  1. A binary-regularization-based model predictive control applied to generation scheduling in concentrating solar power plants

    Optimal Control Applications and Methods, Vol. 41, Núm. 1, pp. 215-238

  2. A fast and accurate deep learning method for strawberry instance segmentation

    Computers and Electronics in Agriculture, Vol. 178

2019

  1. Scheduling in concentrating solar power plants based on mixed-integer optimization and binary-regularization

    Proceedings of the IEEE Conference on Decision and Control

2018

  1. A lifetime-extending model-based predictive control for scheduling in concentrating solar power plants

    Proceedings of the IEEE International Conference on Industrial Technology

  2. An exudate detection method for diagnosis risk of diabetic macular edema in retinal images using feature-based and supervised classification

    Medical and Biological Engineering and Computing, Vol. 56, Núm. 8, pp. 1379-1390

  3. Concentrated solar power plant simulator for education purpose

    Proceedings of the IEEE International Conference on Industrial Technology

  4. Scheduling in Concentrating Solar Power Plants Based on Model Predictive Control and Binary-Regularization Methods

    2018 IEEE Conference on Control Technology and Applications, CCTA 2018

  5. Scheduling in concentrating solar power plants based on mixed-integer optimization and binary-regularization

    2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC)

2017

  1. A tool for automated diabetic retinopathy pre-screening based on retinal image computer analysis

    Computers in Biology and Medicine, Vol. 88, pp. 100-109

  2. Economic MPC applied to generation scheduling in CSP plants

    IFAC-PapersOnLine, Vol. 50, Núm. 1, pp. 115-120

  3. Microaneurysm candidate extraction methodology in retinal images for the integration into classification-based detection systems

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

2016

  1. Automated detection of diabetic macular edema risk in fundus images

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

  2. Inter-observer reliability and agreement study on early diagnosis of diabetic retinopathy and diabetic macular edema risk

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

2015

  1. Combined stochastic and deterministic interval predictor for time-varying systems

    2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings

  2. Obtaining optic disc center and pixel region by automatic thresholding methods on morphologically processed fundus images

    Computer Methods and Programs in Biomedicine, Vol. 118, Núm. 2, pp. 173-185

2013

  1. Locating the Optic Disc in Retinal Images Using Morphological Techniques

    PROCEEDINGS IWBBIO 2013: INTERNATIONAL WORK-CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING