Karl Thurnhofer-Hemsi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 39

Top Topics

Coronary Artery Disease

Top Venues

Publications

Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning. CoRR (2024)
Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Esteban J. Palomo
Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning. IEEE Access 12 (2024)
Ariadna Jiménez-Partinen, Esteban J. Palomo, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques. IWINAC (2) (2024)
Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography. CoRR (2024)
Diego Teran-Pineda, Karl Thurnhofer-Hemsi, Enrique Domínguez
Human Gait Activity Recognition Using Multimodal Sensors. Int. J. Neural Syst. 33 (11) (2023)
Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, David Molina-Cabello, Esteban J. Palomo
Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering. Comput. Appl. Eng. Educ. 31 (3) (2023)
Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit. Axioms 12 (12) (2023)
José M. Pérez-Bravo, José A. Rodríguez-Rodríguez, Jorge García-González, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks. IWINAC (1) (2022)
Clara Jiménez-Valverde, Rosa Maza-Quiroga, Domingo López-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Rafael Marcos Luque Baena
Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders. IWINAC (1) (2022)
Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio
Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law. MICCAI (6) (2021)
Karl Thurnhofer-Hemsi, Enrique Domínguez
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection. Neural Process. Lett. 53 (5) (2021)
Miguel A. Molina-Cabello, José A. Rodríguez-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms. IJCNN (2021)
Karl Thurnhofer-Hemsi, Miguel A. Molina-Cabello, Esteban J. Palomo, Ezequiel López-Rubio, Enrique Domínguez
Peer Assessments in Engineering: A Pilot Project. CISIS-ICEUTE (2021)
Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Enrique Domínguez, Ezequiel López-Rubio, Esteban J. Palomo
Longitudinal Study of the Learning Styles Evolution in Engineering Degrees. CISIS-ICEUTE (2021)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Elidia Beatriz Blázquez-Parra, M. Carmen Ladrón-de-Guevara-Muñoz, Óscar David de Cózar-Macías
Ensemble ellipse fitting by spatial median consensus. Inf. Sci. 579 (2021)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, David A. Elizondo
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting. IEEE Access 9 (2021)
Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domínguez, Miguel A. Molina-Cabello, Ezequiel López-Rubio
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. IJCNN (2021)
Karl Thurnhofer-Hemsi, Guillermo Ruiz-Álvarez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio
Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images. ICPR Workshops (6) (2020)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Núria Roé-Vellvé
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting. Neurocomputing 398 (2020)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Miguel A. Molina-Cabello
Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution. Integr. Comput. Aided Eng. 27 (3) (2020)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Lipika Deka
Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform. ICIP (2020)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian
Radial basis function kernel optimization for Support Vector Machine classifiers. CoRR (2020)
Miguel A. Molina-Cabello, Jorge García-González, Rafael Marcos Luque Baena, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation. ICPR (2020)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Elidia Beatriz Blázquez-Parra, M. Carmen Ladrón-de-Guevara-Muñoz, Óscar David de Cózar-Macías
Ellipse fitting by spatial averaging of random ensembles. Pattern Recognit. 106 (2020)
Karl Thurnhofer-Hemsi, Enrique Domínguez
Analyzing Digital Image by Deep Learning for Melanoma Diagnosis. IWANN (2) (2019)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Miguel A. Molina-Cabello
Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images. IWINAC (2) (2019)
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
QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis. Neuroinformatics 17 (1) (2019)
Miguel A. Molina-Cabello, Cristian Accino, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi
Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms. IWANN (2) (2019)
Can Cui, Karl Thurnhofer-Hemsi, Reza Soroushmehr, Abinash Mishra, Jonathan Gryak, Enrique Domínguez, Kayvan Najarian, Ezequiel López-Rubio
Diabetic Wound Segmentation using Convolutional Neural Networks. EMBC (2019)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Enrique Domínguez, Miguel A. Molina-Cabello
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. IJCNN (2018)
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, María Jesús Rodríguez-Espinosa, Karl Thurnhofer-Hemsi
Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks. WorldCIST (2) (2018)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello
Panorama construction for PTZ camera surveillance with the neural gas network. Expert Syst. J. Knowl. Eng. 35 (2) (2018)
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Lipika Deka, Karl Thurnhofer-Hemsi
Road Pollution Estimation Using Static Cameras And Neural Networks. IJCNN (2018)
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images. Integr. Comput. Aided Eng. 25 (4) (2018)
Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Elidia Beatriz Blázquez-Parra, Óscar David de Cózar-Macías, M. Carmen Ladrón-de-Guevara-Muñoz
A fast robust geometric fitting method for parabolic curves. Pattern Recognit. 84 (2018)
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi
Vehicle Type Detection by Convolutional Neural Networks. IWINAC (2) (2017)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello
Panoramic background modeling for PTZ cameras with competitive learning neural networks. IJCNN (2017)
Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Óscar David de Cózar-Macías, Elidia Beatriz Blázquez-Parra, José Muñoz-Pérez, I. Ladrón de Guevara-López
Robust Fitting of Ellipsoids by Separating Interior and Exterior Points During Optimization. J. Math. Imaging Vis. 58 (2) (2017)
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi
Neural controller for PTZ cameras based on nonpanoramic foreground detection. IJCNN (2017)