Tomás Majtner

18 papers B 1C 2Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2021 — conf
HEp-2 Cell Image Recognition with Transferable Cross-Dataset Synthetic Samples.
CAIP (1)
Tomás Majtner
2021 C conf
Texture-Based Image Transformations for Improved Deep Learning Classification.
CIARP
Tomás Majtner, Buda Bajic, Jürgen Herp
2020 J jnl
Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps.
IET Image Process.
Buda Bajic, Tomás Majtner, Joakim Lindblad, Natasa Sladoje
2020 J jnl
Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations.
Comput. Methods Programs Biomed.
Tomás Majtner, Esmaeil S. Nadimi, Knud Bonnet Yderstraede, Victoria Blanes-Vidal
2019 — conf
Comparison of Deep Learning-Based Recognition Techniques for Medical and Biomedical Images.
CAIP (1)
Tomás Majtner, Esmaeil S. Nadimi
2019 — conf
On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool.
SCIA
Tomás Majtner, Buda Bajic, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, Esmaeil S. Nadimi
2019 J jnl
Optimised deep learning features for improved melanoma detection.
Multim. Tools Appl.
Tomás Majtner, Sule Yildirim Yayilgan, Jon Yngve Hardeberg
2019 J jnl
Validation of electron microscopy initial models via small angle X-ray scattering curves.
Bioinform.
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
2018 J jnl
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification.
CoRR
Tomás Majtner, Buda Bajic, Sule Yildirim, Jon Yngve Hardeberg, Joakim Lindblad, Natasa Sladoje
2016 — conf
Combining deep learning and hand-crafted features for skin lesion classification.
IPTA
Tomás Majtner, Sule Yildirim Yayilgan, Jon Yngve Hardeberg
2016 — conf
Efficient Melanoma Detection Using Texture-Based RSurf Features.
ICIAR
Tomás Majtner, Sule Yildirim Yayilgan, Jon Yngve Hardeberg
2016 — conf
Improving skin lesion segmentation in dermoscopic images by thin artefacts removal methods.
EUVIP
Tomás Majtner, Kristina Lidayova, Sule Yildirim Yayilgan, Jon Yngve Hardeberg
2016 — conf
Texture analysis of 3D fluorescence microscopy images using RSurf 3D features.
ISBI
Roman Stoklasa, Tomás Majtner
2014 C conf
Comparison of 3D Texture-Based Image Descriptors in Fluorescence Microscopy.
IWCIA
Tomás Majtner, David Svoboda
2014 J jnl
Efficient k-NN based HEp-2 cells classifier.
Pattern Recognit.
Roman Stoklasa, Tomás Majtner, David Svoboda
2014 B conf
RSURF - The Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEP-2 Cells.
ICPR
Tomás Majtner, Roman Stoklasa, David Svoboda
2014 — conf
Texture analysis using 3D Gabor features and 3D MPEG-7 Edge Histogram descriptor in fluorescence microscopy.
IC3D
Tomás Majtner, David Svoboda
2012 — conf
Extension of Tamura Texture Features for 3D Fluorescence Microscopy.
3DIMPVT
Tomás Majtner, David Svoboda