Karl Thurnhofer-Hemsi

44 papers B 9Journal 21Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Representation of Molecules by Sequences of Instructions.
J. Chem. Inf. Model.
Karl Thurnhofer-Hemsi, Iván García Aguilar, José David Fernández-Rodríguez, Ezequiel López-Rubio
2025 — conf
Skin Lesion Hybrid Classification and Segmentation Based on Extracted Deep Features.
AIiH (2)
Aboubakr Aakaou, Karl Thurnhofer-Hemsi, Enrique Domínguez
2024 J jnl
CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography.
Expert Syst. J. Knowl. Eng.
Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro
2024 J jnl
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography.
CoRR
Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro
2024 J jnl
Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning.
IEEE Access
Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Esteban J. Palomo
2024 J jnl
Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning.
CoRR
Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
2024 B conf
Deep Learning Models for Gait Event Prediction.
IJCNN
Diego Teran-Pineda, Karl Thurnhofer-Hemsi, José David Fernández-Rodríguez, Enrique Domínguez
2024 — conf
Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques.
IWINAC (2)
Ariadna Jiménez-Partinen, Esteban J. Palomo, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
2024 J jnl
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks.
Int. J. Neural Syst.
José Ángel Díaz-Francés, José David Fernández-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
2023 J jnl
Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering.
Comput. Appl. Eng. Educ.
Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, David Molina-Cabello, Esteban J. Palomo
2023 J jnl
Human Gait Activity Recognition Using Multimodal Sensors.
Int. J. Neural Syst.
Diego Teran-Pineda, Karl Thurnhofer-Hemsi, Enrique Domínguez
2023 J jnl
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit.
Axioms
Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio
2022 — conf
Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders.
IWINAC (1)
Clara Jiménez-Valverde, Rosa Maza-Quiroga, Domingo López-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Rafael Marcos Luque Baena
2022 — conf
Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks.
IWINAC (1)
José M. Pérez-Bravo, José A. Rodríguez-Rodríguez, Jorge García-González, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
2021 J jnl
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection.
Neural Process. Lett.
Karl Thurnhofer-Hemsi, Enrique Domínguez
2021 B conf
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment.
IJCNN
Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domínguez, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2021 J jnl
Ensemble ellipse fitting by spatial median consensus.
Inf. Sci.
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Elidia Beatriz Blázquez-Parra, M. Carmen Ladrón-de-Guevara-Muñoz, Óscar David de Cózar-Macías
2021 B conf
Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms.
IJCNN
Miguel A. Molina-Cabello, José A. Rodríguez-Rodríguez, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
2021 — conf
Longitudinal Study of the Learning Styles Evolution in Engineering Degrees.
CISIS-ICEUTE
Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Enrique Domínguez, Ezequiel López-Rubio, Esteban J. Palomo
2021 — conf
Peer Assessments in Engineering: A Pilot Project.
CISIS-ICEUTE
Karl Thurnhofer-Hemsi, Miguel A. Molina-Cabello, Esteban J. Palomo, Ezequiel López-Rubio, Enrique Domínguez
2021 — conf
Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law.
MICCAI (6)
Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio
2021 J jnl
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting.
IEEE Access
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, David A. Elizondo
2020 B conf
Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation.
ICPR
Miguel A. Molina-Cabello, Jorge García-González, Rafael Marcos Luque Baena, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio
2020 J jnl
Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting.
Neurocomputing
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Núria Roé-Vellvé
2020 J jnl
Ellipse fitting by spatial averaging of random ensembles.
Pattern Recognit.
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Elidia Beatriz Blázquez-Parra, M. Carmen Ladrón-de-Guevara-Muñoz, Óscar David de Cózar-Macías
2020 J jnl
Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution.
Integr. Comput. Aided Eng.
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Miguel A. Molina-Cabello
2020 — conf
Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images.
ICPR Workshops (6)
Karl Thurnhofer-Hemsi, Guillermo Ruiz-Álvarez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2020 J jnl
Radial basis function kernel optimization for Support Vector Machine classifiers.
CoRR
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian
2020 B conf
Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform.
ICIP
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Lipika Deka
2019 — conf
Analyzing Digital Image by Deep Learning for Melanoma Diagnosis.
IWANN (2)
Karl Thurnhofer-Hemsi, Enrique Domínguez
2019 — conf
Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images.
IWINAC (2)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Miguel A. Molina-Cabello
2019 — conf
Diabetic Wound Segmentation using Convolutional Neural Networks.
EMBC
Can Cui, Karl Thurnhofer-Hemsi, Reza Soroushmehr, Abinash Mishra, Jonathan Gryak, Enrique Domínguez, Kayvan Najarian, Ezequiel López-Rubio
2019 — conf
Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms.
IWANN (2)
Miguel A. Molina-Cabello, Cristian Accino, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi
2019 J jnl
QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis.
Neuroinformatics
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
2018 J jnl
A fast robust geometric fitting method for parabolic curves.
Pattern Recognit.
Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Elidia Beatriz Blázquez-Parra, Óscar David de Cózar-Macías, M. Carmen Ladrón-de-Guevara-Muñoz
2018 — conf
Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks.
WorldCIST (2)
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael M. Luque-Baena, María Jesús Rodríguez-Espinosa, Karl Thurnhofer-Hemsi
2018 J jnl
Panorama construction for PTZ camera surveillance with the neural gas network.
Expert Syst. J. Knowl. Eng.
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello
2018 B conf
Road Pollution Estimation Using Static Cameras And Neural Networks.
IJCNN
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Lipika Deka, Karl Thurnhofer-Hemsi
2018 B conf
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks.
IJCNN
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Núria Roé-Vellvé, Enrique Domínguez, Miguel A. Molina-Cabello
2018 J jnl
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images.
Integr. Comput. Aided Eng.
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi
2017 B conf
Neural controller for PTZ cameras based on nonpanoramic foreground detection.
IJCNN
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi
2017 B conf
Panoramic background modeling for PTZ cameras with competitive learning neural networks.
IJCNN
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello
2017 J jnl
Robust Fitting of Ellipsoids by Separating Interior and Exterior Points During Optimization.
J. Math. Imaging Vis.
Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Óscar David de Cózar-Macías, Elidia Beatriz Blázquez-Parra, José Muñoz-Pérez, I. Ladrón de Guevara-López
2017 — conf
Vehicle Type Detection by Convolutional Neural Networks.
IWINAC (2)
Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Karl Thurnhofer-Hemsi