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Tomas Majtner
Tomas Majtner
Max Planck Institute of Biophysics, Frankfurt am Main, Germany
Adresse e-mail validée de biophys.mpg.de - Page d'accueil
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Combining deep learning and hand-crafted features for skin lesion classification
T Majtner, S Yildirim-Yayilgan, JY Hardeberg
International Conference on Image Processing Theory Tools and Applications …, 2016
1612016
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
652019
Efficient k-NN based HEp-2 cells classifier
R Stoklasa, T Majtner, D Svoboda
Pattern Recognition 47 (7), 2409-2418, 2014
582014
Optimised deep learning features for improved melanoma detection
T Majtner, S Yildirim-Yayilgan, JY Hardeberg
Multimedia Tools and Applications 78, 11883-11903, 2019
432019
Extension of tamura texture features for 3d fluorescence microscopy
T Majtner, D Svoboda
International Conference on 3D Imaging, Modeling, Processing, Visualization …, 2012
402012
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
322018
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
302018
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
242021
High-confidence 3D template matching for cryo-electron tomography
S Cruz-León, T Majtner, P Hoffmann, JP Kreysing, MW Tuijtel, ...
Nature Communications 15 (1), 3992, 2024
192024
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
Scandinavian Conference on Image Analysis, SCIA 2019, 439-451, 2019
172019
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
172018
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
162019
Improving skin lesion segmentation in dermoscopic images by thin artefacts removal methods
T Majtner, K Lidayova, S Yildirim-Yayilgan, JY Hardeberg
European Workshop on Visual Information Processing (EUVIP 2016), 1-6, 2016
162016
Efficient melanoma detection using texture-based RSurf features
T Majtner, S Yildirim-Yayilgan, JY Hardeberg
International Conference on Image Analysis and Recognition (ICIAR 2016), 30-37, 2016
132016
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
112018
RSurf - the Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEp-2 Cells
T Majtner, R Stoklasa, D Svoboda
International Conference on Pattern Recognition (ICPR 2014), 1194-1199, 2014
112014
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
102022
Texture-Based Image Description in Fluorescence Microscopy
T Majtner
Masaryk University, 2015
102015
Comparison of 3D texture-based image descriptors in fluorescence microscopy
T Majtner, D Svoboda
International Workshop on Combinatorial Image Analysis (IWCIA 2014), 186-195, 2014
102014
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
72020
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