P
Pavel Matula
Researcher at Masaryk University
Publications - 58
Citations - 1789
Pavel Matula is an academic researcher from Masaryk University. The author has contributed to research in topics: Image segmentation & Level set. The author has an hindex of 19, co-authored 58 publications receiving 1454 citations. Previous affiliations of Pavel Matula include Academy of Sciences of the Czech Republic.
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Journal ArticleDOI
An objective comparison of cell-tracking algorithms
Vladimír Ulman,Martin Maška,Klas E. G. Magnusson,Olaf Ronneberger,Carsten Haubold,Nathalie Harder,Pavel Matula,Petr Matula,David Svoboda,Miroslav Radojevic,Ihor Smal,Karl Rohr,Joakim Jalden,Helen M. Blau,Oleh Dzyubachyk,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt,Pengdong Xiao,Yuexiang Li,Siu-Yeung Cho,Alexandre Dufour,Jean-Christophe Olivo-Marin,Constantino Carlos Reyes-Aldasoro,Jose Alonso Solis-Lemus,Robert Bensch,Thomas Brox,Johannes Stegmaier,Ralf Mikut,Steffen Wolf,Fred A. Hamprecht,Tiago Esteves,Pedro Quelhas,Omer Burak Demirel,Lars Malmström,Florian Jug,Pavel Tomancak,Erik Meijering,Arrate Muñoz-Barrutia,Michal Kozubek,Carlos Ortiz-de-Solorzano +39 more
TL;DR: It is found that methods that either take prior information into account using learning strategies or analyze cells in a global spatiotemporal video context performed better than other methods under the segmentation and tracking scenarios included in the Cell Tracking Challenge.
Journal ArticleDOI
A benchmark for comparison of cell tracking algorithms
Martin Maška,Vladimír Ulman,David Svoboda,Pavel Matula,Petr Matula,Cristina Ederra,Ainhoa Urbiola,Tomás España,Subramanian Venkatesan,Deepak M.W. Balak,Pavel Karas,Tereza Bolcková,Markéta Štreitová,Craig Carthel,Stefano Coraluppi,Nathalie Harder,Karl Rohr,Klas E. G. Magnusson,Joakim Jalden,Helen M. Blau,Oleh Dzyubachyk,Pavel Křížek,Guy M. Hagen,David Pastor-Escuredo,Daniel Jimenez-Carretero,Maria J. Ledesma-Carbayo,Arrate Muñoz-Barrutia,Erik Meijering,Michal Kozubek,Carlos Ortiz-de-Solorzano +29 more
TL;DR: Six algorithms covering a variety of segmentation and tracking paradigms have been compared and ranked based on their performance on both synthetic and real datasets in the Cell Tracking Challenge.
Journal ArticleDOI
Cell Tracking Accuracy Measurement Based on Comparison of Acyclic Oriented Graphs
Pavel Matula,Pavel Matula,Martin Maška,Dmitry V. Sorokin,Petr Matula,Carlos Ortiz-de-Solorzano,Michal Kozubek +6 more
TL;DR: An accuracy measure for objective and systematic benchmarking of cell tracking algorithms, which assumes the existence of a ground-truth reference, and assesses how difficult it is to transform a computed graph into the reference one.
Book ChapterDOI
Segmentation of Touching Cell Nuclei Using a Two-Stage Graph Cut Model
Ondřej Daněk,Pavel Matula,Carlos Ortiz-de-Solorzano,Arrate Muñoz-Barrutia,Martin Maška,Michal Kozubek +5 more
TL;DR: A two-stage graph cut based model for segmentation of touching cell nuclei in fluorescence microscopy images that can be easily balanced using a single user parameter is presented.
Journal ArticleDOI
Acetylation-dependent nuclear arrangement and recruitment of BMI1 protein to UV-damaged chromatin
Gabriela Šustáčková,Stanislav Kozubek,Lenka Stixová,Soňa Legartová,Pavel Matula,Pavel Matula,Darya Yurevna Orlova,Eva Bártová +7 more
TL;DR: Data indicate that the dynamics of recognition of UV‐damaged chromatin, and the nuclear arrangement of BMI1 protein can be influenced by acetylation and occur as an early event prior to the recruitment of HPβ to UV‐irradiated chromatin.