Majtner, T.[Tomas]
* 2012: Extension of Tamura Texture Features for 3D Fluorescence Microscopy
* 2014: Comparison of 3D Texture-Based Image Descriptors in Fluorescence Microscopy
* 2014: Efficient k-NN based HEp-2 cells classifier
* 2014: RSURF: The Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEP-2 Cells
* 2014: Texture analysis using 3D Gabor features and 3D MPEG-7 Edge Histogram descriptor in fluorescence microscopy
* 2016: Combining deep learning and hand-crafted features for skin lesion classification
* 2016: Efficient Melanoma Detection Using Texture-Based RSurf Features
* 2019: Comparison of Deep Learning-Based Recognition Techniques for Medical and Biomedical Images
* 2019: On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool
* 2020: Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps
* 2021: HEp-2 Cell Image Recognition with Transferable Cross-Dataset Synthetic Samples
Includes: Majtner, T.[Tomas] Majtner, T.[Tomáš] Majtner, T.[Toma] Majtner, T.
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