Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals. - José Escorcia-Gutierrez; Jordina Torrents-Barrena; Pedro Romero-Aroca; Aïda Valls; Domenec Puig (CCIA, 2016)

A Fuzzy Random Forest Approach for the Detection of Diabetic Retinopathy on Electronic Health Record Data. - Emran Saleh; Antonio Moreno; Aïda Valls; Pedro Romero-Aroca; Sofia de la Riva-Fernandez (CCIA, 2016)

Assessment of diabetic retinopathy risk with random forests. - Silvia Sanromà; Antonio Moreno; Aïda Valls; Pedro Romero-Aroca; Sofia de la Riva-Fernandez; Ramon Sagarra-Alamo (ESANN, 2016)

Diabetic Retinopathy Risk Estimation Using Fuzzy Rules on Electronic Health Record Data. - Emran Saleh; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca; Sofia de la Riva-Fernandez; Ramon Sagarra-Alamo (MDAI, 2016)

Integration of Different Fuzzy Rule-Induction Methods to Improve the Classification of Patients with Diabetic Retinopathy. - Emran Saleh; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca (CCIA, 2017)

Learning Fuzzy Measures for Aggregation in Fuzzy Rule-Based Models. - Emran Saleh; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca; Vicenç Torra; Humberto Bustince (MDAI, 2018)

Learning ensemble classifiers for diabetic retinopathy assessment. - Emran Saleh; Jerzy Blaszczynski; Antonio Moreno; Aïda Valls; Pedro Romero-Aroca; Sofia de la Riva-Fernandez; Roman Slowinski (Artif. Intell. Medicine, 2018)

Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier. - Jordi de La Torre; Aïda Valls; Domenec Puig; Pere Romero-Aroca (CoRR, 2018)

A Hierarchically ⊥-Decomposable Fuzzy Measure-Based Approach for Fuzzy Rules Aggregation. - Emran Saleh; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca; Humberto Bustince; Vicenç Torra (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019)

Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection. - José Escorcia-Gutierrez; Jordina Torrents-Barrena; Margarita Gamarra; Pedro Romero-Aroca; Aïda Valls; Domenec Puig (Comput. Biol. Medicine, 2020)

Iterative Update of a Random Forest Classifier for Diabetic Retinopathy. - Jordi Pascual-Fontanilles; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca (CCIA, 2021)

A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images. - José Escorcia-Gutierrez; Jordina Torrents-Barrena; Margarita Gamarra; Pedro Romero-Aroca; Aïda Valls; Domenec Puig (Expert Syst. Appl., 2021)

Analysis of Pre-trained Convolutional Neural Network Models in Diabetic Retinopathy Detection Through Retinal Fundus Images. - José Escorcia-Gutierrez; Jose Cuello; Carlos Barraza; Margarita Gamarra; Pere Romero-Aroca; Eduardo Caicedo; Aïda Valls; Domenec Puig (CISIM, 2022)

Continuous Dynamic Update of Fuzzy Random Forests. - Jordi Pascual-Fontanilles; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca (Int. J. Comput. Intell. Syst., 2022)

Challenges in the Exploitation of Historical Clinical Data for the Classification of Diabetic Retinopathy Patients. - Jordi Pascual-Fontanilles; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca (CCIA, 2023)

Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks. - José Escorcia-Gutierrez; Jose Cuello; Margarita Gamarra; Pere Romero-Aroca; Eduardo Caicedo; Aïda Valls; Domenec Puig (CISIM, 2023)

Fuzzy Logic-Based Variable Encoding for Improved Diabetic Retinopathy Prediction. - Jordi Pascual-Fontanilles; Aïda Valls; Antonio Moreno; Pedro Romero-Aroca (CCIA, 2024)

Multivariate data binning and examples generation to build a Diabetic Retinopathy classifier based on temporal clinical and analytical risk factors. - Jordi Pascual-Fontanilles; Aïda Valls; Pedro Romero-Aroca (Knowl. Based Syst., 2024)