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ORCIDKarl Thurnhofer-Hemsi
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2020 – today
- 2024
[j16]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: 69229-69239 (2024)- [j15]José Ángel Díaz-Francés, José David Fernández-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio:
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks. Int. J. Neural Syst. 34(11): 2450057:1-2450057:16 (2024) - [c22]Diego Teran-Pineda, Karl Thurnhofer-Hemsi, José David Fernández-Rodríguez, Enrique Domínguez:
Deep Learning Models for Gait Event Prediction. IJCNN 2024: 1-8 - [c21]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: 116-125 - [i3]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 abs/2402.00570 (2024) - [i2]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 abs/2402.00593 (2024) - 2023
- [j14]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): 1117 (2023) - [j13]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): 537-551 (2023) - [j12]Diego Teran-Pineda, Karl Thurnhofer-Hemsi, Enrique Domínguez:
Human Gait Activity Recognition Using Multimodal Sensors. Int. J. Neural Syst. 33(11): 2350058:1-2350058:15 (2023) - 2022
- [c20]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: 163-172 - [c19]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: 213-222 - 2021
- [j11]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: 112193-112205 (2021) - [j10]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: 310-324 (2021) - [j9]Karl Thurnhofer-Hemsi, Enrique Domínguez:
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection. Neural Process. Lett. 53(5): 3073-3093 (2021) - [c18]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: 264-273 - [c17]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: 274-283 - [c16]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: 1-8 - [c15]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: 1-7 - [c14]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: 340-349 - 2020
- [j8]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): 233-251 (2020) - [j7]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: 314-327 (2020) - [j6]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: 107406 (2020) - [c13]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: 3015-3019 - [c12]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: 623-638 - [c11]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: 3106-3113 - [i1]Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian:
Radial basis function kernel optimization for Support Vector Machine classifiers. CoRR abs/2007.08233 (2020)
2010 – 2019
- 2019
- [j5]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): 103-114 (2019) - [c10]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: 1002-1005 - [c9]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: 163-173 - [c8]Karl Thurnhofer-Hemsi, Enrique Domínguez:
Analyzing Digital Image by Deep Learning for Melanoma Diagnosis. IWANN (2) 2019: 270-279 - [c7]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: 287-296 - 2018
- [j4]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) - [j3]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): 321-333 (2018) - [j2]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: 301-316 (2018) - [c6]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: 1-7 - [c5]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: 1-8 - [c4]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: 669-678 - 2017
- [j1]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): 189-210 (2017) - [c3]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: 396-403 - [c2]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: 404-411 - [c1]Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi:
Vehicle Type Detection by Convolutional Neural Networks. IWINAC (2) 2017: 268-278
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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