Tomás Majtner

According to our database, Tomás Majtner authored at least 18 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Texture-Based Image Transformations for Improved Deep Learning Classification.

Tomás Majtner, Buda Bajic, Jürgen Herp

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

HEp-2 Cell Image Recognition with Transferable Cross-Dataset Synthetic Samples.

Tomás Majtner

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps.

Buda Bajic, Tomás Majtner, Joakim Lindblad, Natasa Sladoje

IET Image Process., 2020

Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations.

Tomás Majtner, Esmaeil S. Nadimi, Knud Bonnet Yderstraede, Victoria Blanes-Vidal

Comput. Methods Programs Biomed., 2020

2019

Optimised deep learning features for improved melanoma detection.

Tomás Majtner, Sule Yildirim Yayilgan, Jon Yngve Hardeberg

Multim. Tools Appl., 2019

Validation of electron microscopy initial models via small angle X-ray scattering curves.

Amaya Jiménez, Slavica Jonic, Tomás Majtner, Joaquín Otón, Jose Luis Vilas, David Maluenda, Javier Mota, Erney Ramírez-Aportela, Marta Martínez, Yaiza Rancel, Joan Segura, Rubén Sánchez García, Roberto Melero, Laura del Cano, Pablo Conesa, Lars Skjaerven, Roberto Marabini, José María Carazo, Carlos Oscar Sánchez Sorzano

Bioinform., 2019

On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool.

Tomás Majtner, Buda Bajic, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, Esmaeil S. Nadimi

Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019

Comparison of Deep Learning-Based Recognition Techniques for Medical and Biomedical Images.

Tomás Majtner, Esmaeil S. Nadimi

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification.

Tomás Majtner, Buda Bajic, Sule Yildirim, Jon Yngve Hardeberg, Joakim Lindblad, Natasa Sladoje

CoRR, 2018

2016

Texture analysis of 3D fluorescence microscopy images using RSurf 3D features.

Roman Stoklasa, Tomás Majtner

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Combining deep learning and hand-crafted features for skin lesion classification.

Tomás Majtner, Sule Yildirim Yayilgan, Jon Yngve Hardeberg

Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Efficient Melanoma Detection Using Texture-Based RSurf Features.

Tomás Majtner, Sule Yildirim Yayilgan, Jon Yngve Hardeberg

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

Improving skin lesion segmentation in dermoscopic images by thin artefacts removal methods.

Tomás Majtner, Kristina Lidayova, Sule Yildirim Yayilgan, Jon Yngve Hardeberg

Proceedings of the 6th European Workshop on Visual Information Processing, 2016

2014

Efficient k-NN based HEp-2 cells classifier.

Roman Stoklasa, Tomás Majtner, David Svoboda

Pattern Recognit., 2014

Comparison of 3D Texture-Based Image Descriptors in Fluorescence Microscopy.

Tomás Majtner, David Svoboda

Proceedings of the Combinatorial Image Analysis - 16th International Workshop, 2014

RSURF - The Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEP-2 Cells.

Tomás Majtner, Roman Stoklasa, David Svoboda

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Texture analysis using 3D Gabor features and 3D MPEG-7 Edge Histogram descriptor in fluorescence microscopy.

Tomás Majtner, David Svoboda

Proceedings of the 2014 International Conference on 3D Imaging, 2014

2012

Extension of Tamura Texture Features for 3D Fluorescence Microscopy.

Tomás Majtner, David Svoboda

Proceedings of the 2012 Second International Conference on 3D Imaging, 2012