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 | 150 | 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 | 62 | 2019 |
Efficient k-NN based HEp-2 cells classifier R Stoklasa, T Majtner, D Svoboda Pattern Recognition 47 (7), 2409-2418, 2014 | 58 | 2014 |
Extension of tamura texture features for 3d fluorescence microscopy T Majtner, D Svoboda 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT …, 2012 | 39 | 2012 |
Optimised deep learning features for improved melanoma detection T Majtner, S Yildirim-Yayilgan, JY Hardeberg Multimedia Tools and Applications 78, 11883-11903, 2019 | 38 | 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 | 29 | 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 | 28 | 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 | 19 | 2021 |
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 | 17 | 2019 |
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 | 17 | 2018 |
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 | 16 | 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 | 15 | 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 | 13 | 2016 |
High-confidence 3D template matching for cryo-electron tomography S Cruz-León, T Majtner, P Hoffmann, JP Kreysing, MW Tuijtel, ... Biophysical Journal 123 (3), 183a, 2024 | 11 | 2024 |
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 | 11 | 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 | 11 | 2014 |
Comparison of 3D texture-based image descriptors in fluorescence microscopy T Majtner, D Svoboda International Workshop on Combinatorial Image Analysis, 186-195, 2014 | 10 | 2014 |
Texture-Based Image Description in Fluorescence Microscopy T Majtner Masaryk University, 2015 | 9 | 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 | 8 | 2022 |
Validation of electron microscopy initial models via small angle X-ray scattering curves A Jimenez, S Jonic, T Majtner, J Otón, JL Vilas, D Maluenda, J Mota, ... Bioinformatics 35 (14), 2427-2433, 2019 | 7 | 2019 |