Tomas Majtner
Tomas Majtner
Max Planck Institute of Biophysics, Frankfurt am Main, Germany
Verified email at - Homepage
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Cited by
Combining deep learning and hand-crafted features for skin lesion classification
T Majtner, S Yildirim-Yayilgan, JY Hardeberg
Image Processing Theory Tools and Applications (IPTA), 2016 6th …, 2016
Survey of the analysis of continuous conformational variability of biological macromolecules by electron microscopy
COS Sorzano, A Jiménez, J Mota, JL Vilas, D Maluenda, M Martínez, ...
Acta Crystallographica Section F: Structural Biology Communications 75 (1 …, 2019
Efficient k-NN based HEp-2 cells classifier
R Stoklasa, T Majtner, D Svoboda
Pattern Recognition 47 (7), 2409-2418, 2014
Extension of tamura texture features for 3d fluorescence microscopy
T Majtner, D Svoboda
3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT …, 2012
Optimised deep learning features for improved melanoma detection
T Majtner, S Yildirim-Yayilgan, JY Hardeberg
Multimedia Tools and Applications 78, 11883-11903, 2019
Using Scipion for stream image processing at Cryo-EM facilities
J Gómez-Blanco, JM de la Rosa-Trevín, R Marabini, L Del Cano, ...
Journal of Structural Biology 204 (3), 457-463, 2018
Ensemble of convolutional neural networks for dermoscopic images classification
T Majtner, B Bajić, S Yildirim, JY Hardeberg, J Lindblad, N Sladoje
arXiv preprint arXiv:1808.05071, 2018
A deep learning framework for autonomous detection and classification of Crohnʼs disease lesions in the small bowel and colon with capsule endoscopy
T Majtner, JB Brodersen, J Herp, J Kjeldsen, ML Halling, MD Jensen
Endoscopy International Open 9 (09), E1361-E1370, 2021
Advances in image processing for single-particle analysis by electron cryomicroscopy and challenges ahead
JL Vilas, N Tabassum, J Mota, D Maluenda, A Jiménez-Moreno, T Majtner, ...
Current Opinion in Structural Biology 52, 127-145, 2018
On the effectiveness of generative adversarial networks as HEp-2 image augmentation tool
T Majtner, B Bajić, J Lindblad, N Sladoje, V Blanes-Vidal, ES Nadimi
Image Analysis: 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden …, 2019
Improving skin lesion segmentation in dermoscopic images by thin artefacts removal methods
T Majtner, K Lidayova, S Yildirim-Yayilgan, JY Hardeberg
Visual Information Processing (EUVIP), 2016 6th European Workshop on, 1-6, 2016
Flexible workflows for on-the-fly electron-microscopy single-particle image processing using Scipion
D Maluenda, T Majtner, P Horváth, JL Vilas, A Jiménez-Moreno, J Mota, ...
Acta Crystallographica Section D: Structural Biology 75 (10), 882-894, 2019
Efficient melanoma detection using texture-based RSurf features
T Majtner, S Yildirim-Yayilgan, JY Hardeberg
Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016
Swarm optimization as a consensus technique for Electron Microscopy Initial Volume
C Sorzano, J Vargas, J Vilas, A Jimé nez-Moreno, J Mota, T Majtner, ...
Applied Analysis and Optimization 2 (2), 299-313, 2018
RSurf - the Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEp-2 Cells
T Majtner, R Stoklasa, D Svoboda
Pattern Recognition (ICPR), 2014 22nd International Conference on, 1194-1199, 2014
Comparison of 3D texture-based image descriptors in fluorescence microscopy
T Majtner, D Svoboda
International Workshop on Combinatorial Image Analysis, 186-195, 2014
Texture-Based Image Description in Fluorescence Microscopy
T Majtner
Masaryk University, 2015
ENNGene: an Easy Neural Network model building tool for Genomics
E Chalupová, O Vaculík, J Poláček, F Jozefov, T Majtner, P Alexiou
BMC Genomics 23 (1), 1-11, 2022
Blind estimation of DED camera gain in Electron Microscopy
COS Sorzano, E Fernández-Giménez, V Peredo-Robinson, J Vargas, ...
Journal of Structural Biology 203 (2), 90-93, 2018
Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations
T Majtner, ES Nadimi, KB Yderstræde, V Blanes-Vidal
Computer Methods and Programs in Biomedicine 196, 105619, 2020
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