Karl Thurnhofer-Hemsi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
7
Active years
2017–2026
Best venue rank
National
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | IWINAC | Contrast-Focused Preprocessing for Skin Lesion Segmentation and Classification. | Aboubakr Aakaou, Karl Thurnhofer-Hemsi, Enrique Domnguez |
| 2026 | IWINAC | Interactive Pressure Ulcer Segmentation: A Point-Prompted DeepLabV3+ Approach. | Wasfieh Nazzal, Karl Thurnhofer-Hemsi, Francisco J. Veredas, Ezequiel Lpez-Rubio |
| 2024 | IJCNN | Deep Learning Models for Gait Event Prediction. | Diego Teran-Pineda, Karl Thurnhofer-Hemsi, Jos David Fernndez-Rodrguez, Enrique Domnguez |
| 2024 | IWINAC | Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques. | Ariadna Jimnez-Partinen, Esteban J. Palomo, Karl Thurnhofer-Hemsi, Jorge Rodrguez-Capitn, Ana I. Molina-Ramos |
| 2022 | IWINAC | Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders. | Clara Jimnez-Valverde, Rosa Maza-Quiroga, Domingo Lpez-Rodrguez, Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Rafael Marcos Luque Baena |
| 2022 | IWINAC | Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks. | Jos M. Prez-Bravo, Jos A. Rodrguez-Rodrguez, Jorge Garca-Gonzlez, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio |
| 2021 | IJCNN | Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms. | Miguel A. Molina-Cabello, Jos A. Rodrguez-Rodrguez, Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio |
| 2021 | IJCNN | Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment. | Karl Thurnhofer-Hemsi, Rosa Maza-Quiroga, Enrique Domnguez, Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio |
| 2021 | MICCAI | Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law. | Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo Lpez-Rodrguez, Ezequiel Lpez-Rubio |
| 2020 | ICIP | Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform. | Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Nria Ro-Vellv, Lipika Deka |
| 2020 | ICPR | Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation. | Miguel A. Molina-Cabello, Jorge Garca-Gonzlez, Rafael Marcos Luque Baena, Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio |
| 2020 | ICPR | Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images. | Karl Thurnhofer-Hemsi, Guillermo Ruiz-lvarez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio |
| 2019 | IWANN | Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms. | Miguel A. Molina-Cabello, Cristian Accino, Ezequiel Lpez-Rubio, Karl Thurnhofer-Hemsi |
| 2019 | IWANN | Analyzing Digital Image by Deep Learning for Melanoma Diagnosis. | Karl Thurnhofer-Hemsi, Enrique Domnguez |
| 2019 | IWINAC | Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images. | Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Nria Ro-Vellv, Miguel A. Molina-Cabello |
| 2018 | IJCNN | Road Pollution Estimation Using Static Cameras And Neural Networks. | Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel Lpez-Rubio, Lipika Deka, Karl Thurnhofer-Hemsi |
| 2018 | IJCNN | Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks. | Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Nria Ro-Vellv, Enrique Domnguez, Miguel A. Molina-Cabello |
| 2018 | WorldCIST | Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks. | Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio, Rafael M. Luque-Baena, Mara Jess Rodrguez-Espinosa, Karl Thurnhofer-Hemsi |
| 2017 | IJCNN | Neural controller for PTZ cameras based on nonpanoramic foreground detection. | Miguel A. Molina-Cabello, Ezequiel Lpez-Rubio, Rafael Marcos Luque Baena, Enrique Domnguez, Karl Thurnhofer-Hemsi |
| 2017 | IJCNN | Panoramic background modeling for PTZ cameras with competitive learning neural networks. | Karl Thurnhofer-Hemsi, Ezequiel Lpez-Rubio, Enrique Domnguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello |
| 2017 | IWINAC | Vehicle Type Detection by Convolutional Neural Networks. | Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Ezequiel Lpez-Rubio, Karl Thurnhofer-Hemsi |