An objective comparison of cell-tracking algorithms V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ... Nature methods 14 (12), 1141-1152, 2017 | 592 | 2017 |
A benchmark for comparison of cell tracking algorithms M Maška, V Ulman, D Svoboda, P Matula, P Matula, C Ederra, A Urbiola, ... Bioinformatics 30 (11), 1609-1617, 2014 | 497 | 2014 |
Generation of digital phantoms of cell nuclei and simulation of image formation in 3D image cytometry D Svoboda, M Kozubek, S Stejskal Cytometry Part A: The Journal of the International Society for Advancement …, 2009 | 160 | 2009 |
Algorithms for efficient computation of convolution K Pavel, S David Design and architectures for digital signal processing 8, 2013 | 78 | 2013 |
MitoGen: a framework for generating 3D synthetic time-lapse sequences of cell populations in fluorescence microscopy D Svoboda, V Ulman IEEE transactions on medical imaging 36 (1), 310-321, 2016 | 64 | 2016 |
Efficient k-NN based HEp-2 cells classifier R Stoklasa, T Majtner, D Svoboda Pattern Recognition 47 (7), 2409-2418, 2014 | 57 | 2014 |
Virtual cell imaging: A review on simulation methods employed in image cytometry V Ulman, D Svoboda, M Nykter, M Kozubek, P Ruusuvuori Cytometry Part A 89 (12), 1057-1072, 2016 | 50 | 2016 |
FiloGen: a model-based generator of synthetic 3-D time-lapse sequences of single motile cells with growing and branching filopodia DV Sorokin, I Peterlik, V Ulman, D Svoboda, T Nečasová, K Morgaenko, ... IEEE Transactions on Medical Imaging 37 (12), 2630-2641, 2018 | 43 | 2018 |
Extension of tamura texture features for 3d fluorescence microscopy T Majtner, D Svoboda 2012 second international conference on 3D imaging, modeling, processing …, 2012 | 39 | 2012 |
Generation of synthetic image datasets for time-lapse fluorescence microscopy D Svoboda, V Ulman Image Analysis and Recognition: 9th International Conference, ICIAR 2012 …, 2012 | 30 | 2012 |
CytoPacq: a web-interface for simulating multi-dimensional cell imaging D Wiesner, D Svoboda, M Maška, M Kozubek Bioinformatics 35 (21), 4531-4533, 2019 | 27 | 2019 |
On simulating 3d fluorescent microscope images D Svoboda, M Kašík, M Maška, J Hubený, S Stejskal, M Zimmermann Computer Analysis of Images and Patterns: 12th International Conference …, 2007 | 27 | 2007 |
Generation of 3D digital phantoms of colon tissue D Svoboda, O Homola, S Stejskal Image Analysis and Recognition: 8th International Conference, ICIAR 2011 …, 2011 | 23 | 2011 |
A performance evaluation of statistical tests for edge detection in textured images I Williams, N Bowring, D Svoboda Computer Vision and Image Understanding 122, 115-130, 2014 | 22 | 2014 |
Convolution of large 3D images on GPU and its decomposition P Karas, D Svoboda EURASIP journal on advances in signal processing 2011, 1-12, 2011 | 22 | 2011 |
On generative modeling of cell shape using 3D GANs D Wiesner, T Nečasová, D Svoboda Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019 | 17 | 2019 |
Towards a realistic distribution of cells in synthetically generated 3D cell populations D Svoboda, V Ulman Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 16 | 2013 |
Efficient computation of convolution of huge images D Svoboda Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011 | 15 | 2011 |
Implicit neural representations for generative modeling of living cell shapes D Wiesner, J Suk, S Dummer, D Svoboda, JM Wolterink International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 14 | 2022 |
Validation and evaluation metrics for medical and biomedical image synthesis T Nečasová, N Burgos, D Svoboda Biomedical Image Synthesis and Simulation, 573-600, 2022 | 12 | 2022 |