Neural controller for PTZ cameras based on nonpanoramic foreground detection. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael Marcos Luque Baena; Enrique Domínguez; Karl Thurnhofer-Hemsi (IJCNN, 2017)

Panoramic background modeling for PTZ cameras with competitive learning neural networks. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena; Miguel A. Molina-Cabello (IJCNN, 2017)

Vehicle Type Detection by Convolutional Neural Networks. - Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Karl Thurnhofer-Hemsi (IWINAC (2), 2017)

Robust Fitting of Ellipsoids by Separating Interior and Exterior Points During Optimization. - Ezequiel López-Rubio; Karl Thurnhofer-Hemsi; Óscar David de Cózar-Macías; Elidia Beatriz Blázquez-Parra; José Muñoz-Pérez; I. Ladrón de Guevara-López (J. Math. Imaging Vis., 2017)

Road Pollution Estimation Using Static Cameras And Neural Networks. - Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Lipika Deka; Karl Thurnhofer-Hemsi (IJCNN, 2018)

Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Núria Roé-Vellvé; Enrique Domínguez; Miguel A. Molina-Cabello (IJCNN, 2018)

Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks. - Miguel A. Molina-Cabello; Ezequiel López-Rubio; Rafael M. Luque-Baena; María Jesús Rodríguez-Espinosa; Karl Thurnhofer-Hemsi (WorldCIST (2), 2018)

Panorama construction for PTZ camera surveillance with the neural gas network. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena; Miguel A. Molina-Cabello (Expert Syst. J. Knowl. Eng., 2018)

Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images. - Miguel A. Molina-Cabello; Rafael Marcos Luque Baena; Ezequiel López-Rubio; Karl Thurnhofer-Hemsi (Integr. Comput. Aided Eng., 2018)

A fast robust geometric fitting method for parabolic curves. - Ezequiel López-Rubio; Karl Thurnhofer-Hemsi; Elidia Beatriz Blázquez-Parra; Óscar David de Cózar-Macías; M. Carmen Ladrón-de-Guevara-Muñoz (Pattern Recognit., 2018)

Diabetic Wound Segmentation using Convolutional Neural Networks. - Can Cui; Karl Thurnhofer-Hemsi; Reza Soroushmehr; Abinash Mishra; Jonathan Gryak; Enrique Domínguez; Kayvan Najarian; Ezequiel López-Rubio (EMBC, 2019)

Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms. - Miguel A. Molina-Cabello; Cristian Accino; Ezequiel López-Rubio; Karl Thurnhofer-Hemsi (IWANN (2), 2019)

Analyzing Digital Image by Deep Learning for Melanoma Diagnosis. - Karl Thurnhofer-Hemsi; Enrique Domínguez (IWANN (2), 2019)

Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Núria Roé-Vellvé; Miguel A. Molina-Cabello (IWINAC (2), 2019)

QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis. - Francisco Javier López-González; José Paredes-Pacheco; Karl Thurnhofer-Hemsi; Carlos Rossi; Manuel Enciso; Daniel Toro-Flores; Belén Murcia-Casas; Antonio L. Gutiérrez-Cardo; Núria Roé-Vellvé (Neuroinformatics, 2019)

Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Núria Roé-Vellvé; Lipika Deka (ICIP, 2020)

Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation. - Miguel A. Molina-Cabello; Jorge García-González; Rafael Marcos Luque Baena; Karl Thurnhofer-Hemsi; Ezequiel López-Rubio (ICPR, 2020)

Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images. - Karl Thurnhofer-Hemsi; Guillermo Ruiz-Álvarez; Rafael Marcos Luque Baena; Miguel A. Molina-Cabello; Ezequiel López-Rubio (ICPR Workshops (6), 2020)

Radial basis function kernel optimization for Support Vector Machine classifiers. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Miguel A. Molina-Cabello; Kayvan Najarian (CoRR, 2020)

Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Núria Roé-Vellvé; Miguel A. Molina-Cabello (Integr. Comput. Aided Eng., 2020)

Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; Rafael Marcos Luque Baena; Núria Roé-Vellvé (Neurocomputing, 2020)

Ellipse fitting by spatial averaging of random ensembles. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Elidia Beatriz Blázquez-Parra; M. Carmen Ladrón-de-Guevara-Muñoz; Óscar David de Cózar-Macías (Pattern Recognit., 2020)

Longitudinal Study of the Learning Styles Evolution in Engineering Degrees. - Miguel A. Molina-Cabello; Karl Thurnhofer-Hemsi; Enrique Domínguez; Ezequiel López-Rubio; Esteban J. Palomo (CISIS-ICEUTE, 2021)

Peer Assessments in Engineering: A Pilot Project. - Karl Thurnhofer-Hemsi; Miguel A. Molina-Cabello; Esteban J. Palomo; Ezequiel López-Rubio; Enrique Domínguez (CISIS-ICEUTE, 2021)

Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms. - Miguel A. Molina-Cabello; José A. Rodríguez-Rodríguez; Karl Thurnhofer-Hemsi; Ezequiel López-Rubio (IJCNN, 2021)

Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. - Karl Thurnhofer-Hemsi; Rosa Maza-Quiroga; Enrique Domínguez; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IJCNN, 2021)

Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law. - Rosa Maza-Quiroga; Karl Thurnhofer-Hemsi; Domingo López-Rodríguez; Ezequiel López-Rubio (MICCAI (6), 2021)

Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Enrique Domínguez; David A. Elizondo (IEEE Access, 2021)

Ensemble ellipse fitting by spatial median consensus. - Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Elidia Beatriz Blázquez-Parra; M. Carmen Ladrón-de-Guevara-Muñoz; Óscar David de Cózar-Macías (Inf. Sci., 2021)

A Convolutional Neural Network Framework for Accurate Skin Cancer Detection. - Karl Thurnhofer-Hemsi; Enrique Domínguez (Neural Process. Lett., 2021)

Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders. - Clara Jiménez-Valverde; Rosa Maza-Quiroga; Domingo López-Rodríguez; Karl Thurnhofer-Hemsi; Ezequiel López-Rubio; Rafael Marcos Luque Baena (IWINAC (1), 2022)

Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks. - José M. Pérez-Bravo; José A. Rodríguez-Rodríguez; Jorge García-González; Miguel A. Molina-Cabello; Karl Thurnhofer-Hemsi; Ezequiel López-Rubio (IWINAC (1), 2022)

Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering. - Miguel A. Molina-Cabello; Karl Thurnhofer-Hemsi; David Molina-Cabello; Esteban J. Palomo (Comput. Appl. Eng. Educ., 2023)

Human Gait Activity Recognition Using Multimodal Sensors. - Diego Teran-Pineda; Karl Thurnhofer-Hemsi; Enrique Domínguez (Int. J. Neural Syst., 2023)

Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit. - Rosa Maza-Quiroga; Karl Thurnhofer-Hemsi; Domingo López-Rodríguez; Ezequiel López-Rubio (Axioms, 2023)

Deep Learning Models for Gait Event Prediction. - Diego Teran-Pineda; Karl Thurnhofer-Hemsi; José David Fernández-Rodríguez; Enrique Domínguez (IJCNN, 2024)

Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques. - Ariadna Jiménez-Partinen; Esteban J. Palomo; Karl Thurnhofer-Hemsi; Jorge Rodríguez-Capitán; Ana I. Molina-Ramos (IWINAC (2), 2024)

Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning. - Ariadna Jiménez-Partinen; Karl Thurnhofer-Hemsi; Jorge Rodríguez-Capitán; Ana I. Molina-Ramos; Esteban J. Palomo (IEEE Access, 2024)

Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks. - José Ángel Díaz-Francés; José David Fernández-Rodríguez; Karl Thurnhofer-Hemsi; Ezequiel López-Rubio (Int. J. Neural Syst., 2024)

CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography. - Ariadna Jiménez-Partinen; Miguel A. Molina-Cabello; Karl Thurnhofer-Hemsi; Esteban J. Palomo; Jorge Rodríguez-Capitán; Ana I. Molina-Ramos; Manuel Jiménez-Navarro (Expert Syst. J. Knowl. Eng., 2024)

Skin Lesion Hybrid Classification and Segmentation Based on Extracted Deep Features. - Aboubakr Aakaou; Karl Thurnhofer-Hemsi; Enrique Domínguez (AIiH (2), 2025)

Representation of Molecules by Sequences of Instructions. - Karl Thurnhofer-Hemsi; Iván García Aguilar; José David Fernández-Rodríguez; Ezequiel López-Rubio (J. Chem. Inf. Model., 2025)