RNDr. Vladimír Ulman, Ph.D.
Research and development staff, Centre for Biomedical Image Analysis
Office: A312
Botanická 554/68a
602 00 Brno
Phone: | +420 549 49 7684 |
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E‑mail: |
social and academic networks: |
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Curriculum Vitae
- Person-Related Identification Information
- Vladimír Ulman, born 1st April 1980 in Pilsen in Czechoslovakia, married, 2 children
- Department
- Max Planck Institute of Molecular Cell Biology and Genetics
Pfotenhauerstraße 108
01307 Dresden, Germany
Centre for Biomedical Image Analysis
Faculty of Informatics, Masaryk University
Botanická 68a, 602 00 Brno,
Czech Republic
- Max Planck Institute of Molecular Cell Biology and Genetics
- Employment - Position
- Researcher
- Education and Academic Qualifications
- 2011: PhD, computer science, FI MU, Brno. PhD thesis: "Fast Anisotropic Filtering and Performance Evaluation Tool for Optical Flow in Biomedical Image Analysis"
- 2006: RNDr, computer science, FI MU, Brno. RNDr thesis: "Mosaicking of High - Resolution Biomedical Images"
- 2004: MSc, computer science, FI MU, Brno. Master thesis: "Image Composition"
- Employment
- 2016-present: Researcher/post-doc MPI-CBG
- 2009-2015: Researcher FI MU
- 2006-2014: ICT Administrator
- Teaching Activities
- 2013-2015: Teaching practicals on design of elementary algorithms
- 2010-2015: Teaching practicals on image processing programming in C and C++
- 2005-2015: Advising bachelor and master students' theses
- 2005: Teaching practicals on (general) programming in C and C++
- Scientific and Research Activities
- Biomedical image processing, analysis, and simulations
- focus on time-lapse sequences of such images
- simulations: generation of artificial live cell populations for testing quality of algorithms
- linear filtering in the spatial domain
- optical flow and registration techniques
- tracking
- mosaicking and processing extensive images acquired in a part-by-part manner
- Biomedical image processing, analysis, and simulations
- Major Publications
- SVOBODA, David a Vladimír ULMAN. MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy. IEEE Transactions on Medical Imaging. IEEE Engineering in Medicine and Biology Society, 2017, roč. 36, č. 1, s. 310-321. ISSN 0278-0062. Dostupné z: https://dx.doi.org/10.1109/TMI.2016.2606545. URL info
- SOROKIN, Dmitry, Igor PETERLÍK, Vladimír ULMAN, David SVOBODA a Martin MAŠKA. Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Motile Cells with Growing Filopodia. Online. In 14th IEEE International Symposium on Biomedical Imaging. Melbourne: IEEE, 2017, s. 822-826. ISBN 978-1-5090-1172-8. Dostupné z: https://dx.doi.org/10.1109/ISBI.2017.7950644. URL info
- SVOBODA, David, Vladimír ULMAN, Peter KOVÁČ, Barbara ŠALINGOVÁ, Lenka TESAŘOVÁ, Irena KRONTORÁD KOUTNÁ a Petr MATULA. Vascular Network Formation in Silico Using the Extended Cellular Potts Model. In 2016 IEEE International Conference on Image Processing. Piscataway, NJ, USA: IEEE Signal Processing Society, 2016, s. 3180-3183. ISBN 978-1-4673-9961-6. Dostupné z: https://dx.doi.org/10.1109/ICIP.2016.7532946. URL info
- ULMAN, Vladimír, David SVOBODA, Matti NYKTER, Michal KOZUBEK a Pekka RUUSUVUORI. Virtual cell imaging: A review on simulation methods employed in image cytometry. Cytometry Part A. John Wiley & Sons, 2016, roč. 89A, č. 12, s. 1057-1072. ISSN 1552-4922. Dostupné z: https://dx.doi.org/10.1002/cyto.a.23031. URL info
- SVOBODA, David, Vladimír ULMAN a Igor PETERLÍK. On Proper Simulation of Chromatin Structure in Static Images As Well As in Time-Lapse Sequences in Fluorescence Microscopy. In Proceedings of 2015 IEEE International Symposium on Biomedical Imaging. Stoughton (WI, USA): Engineering in Medicine and Biology Society, 2015, s. 712-716. ISBN 978-1-4799-2374-8. Dostupné z: https://dx.doi.org/10.1109/ISBI.2015.7163972. info
- ULMAN, Vladimír, Zoltán ORÉMUŠ a David SVOBODA. TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells. In Vittorio Murino, Enrico Puppo, Gianni Vernazza. Proceedings of 18th International Conference on Image Analysis and Processing. Heidelberg, Německo: Springer International Publishing, 2015, s. 623-634. ISBN 978-3-319-23230-0. Dostupné z: https://dx.doi.org/10.1007/978-3-319-23231-7_56. info
- MAŠKA, Martin, 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 JALDÉN, 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 a Carlos ORTIZ-DE-SOLORZANO. A Benchmark for Comparison of Cell Tracking Algorithms. Bioinformatics. 2014, roč. 30, č. 11, s. 1609-1617. ISSN 1367-4803. Dostupné z: https://dx.doi.org/10.1093/bioinformatics/btu080. URL info
- SVOBODA, David, Vladimír ULMAN, Luděk MATYSKA, Martin MAŠKA, Ján BELLA a Stanislav STEJSKAL. On Proper Simulation of Phenomena Influencing Image Formation in Fluorescence Microscopy. In 2014 IEEE International Conference on Image Processing. Neuveden: IEEE Signal Processing Society, 2014, s. 3944-3948. ISBN 978-1-4799-5750-7. Dostupné z: https://dx.doi.org/10.1109/ICIP.2014.7025801. URL info
- SVOBODA, David a Vladimír ULMAN. Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations. In Alfredo Petrosino. 17th International Conference on Image Analysis and Processing - ICIAP 2013. LNCS 8157, Part II. Berlin, Heidelberg: Springer-Verlag, 2013, s. 429-438. ISBN 978-3-642-41183-0. Dostupné z: https://dx.doi.org/10.1007/978-3-642-41184-7_44. info
- SVOBODA, David a Vladimír ULMAN. Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy. In Campilho, Aurélio; Kamel, Mohamed. Proceedings of 9th International Conference on Image Analysis and Recognition. LNCS 7325, Part II. Heidelberg: Springer-Verlag, 2012, s. 473-482. ISBN 978-3-642-31297-7. Dostupné z: https://dx.doi.org/10.1007/978-3-642-31298-4_56. info
- ULMAN, Vladimír. Boundary Treatment for Young-van Vliet Recursive Zero-Mean Gabor Filtering. EURASIP Journal on Advances in Signal Processing. NEW YORK (USA): HINDAWI PUBLISHING CORPORATION, 2011, roč. 2011, ID 234090, s. 1-9. ISSN 1687-6172. Dostupné z: https://dx.doi.org/10.1155/2011/234090. doprovodná webová stránka info
- ULMAN, Vladimír a David SVOBODA. Tool for Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy. In 11th European Light Microscopy Initiative (ELMI) meeting. 2011. Odkaz na prezentovaný nástroj. info
- ULMAN, Vladimír. Filtering with Anisotropic 3D Gabor Filter Bank Efficiently Computed with 1D Convolutions without Interpolation. In Proceedings of the Seventh IASTED International Conference on Signal Processing, Pattern Recognition and Applications. Calgary: ACTA Press, 2010, s. 33-42. ISBN 978-0-88986-823-6. související webová prezentace info
- ULMAN, Vladimír. Improving Accuracy of Optical Flow of Heeger's Original Method on Biomedical Images. In Proceedings of the 7th International Conference on Image Analysis and Recognition, ICIAR 2010. Povoa de Varzim (Portugal): Springer, 2010, s. 263-273. ISBN 978-3-642-13771-6. Dostupné z: https://dx.doi.org/10.1007/978-3-642-13772-3_27. URL info
- HUBENÝ, Jan, Vladimír ULMAN a Pavel MATULA. Estimating Large Local Motion in Live-Cell Imaging Using Variational Optical Flow. In VISAPP 2007 Second International Conference On Computer Vision Theory And Applications, Proceedings. Portugal: INSTICC PRESS, 2007, s. 542-548. ISBN 978-972-8865-74-0. info
- VAŘECHA, Miroslav, Jana AMRICHOVÁ, Michal ZIMMERMANN, Vladimír ULMAN, Emilie LUKÁŠOVÁ a Michal KOZUBEK. Bioinformatic and image analyses of the cellular localization of the apoptotic proteins endonuclease G, AIF, and AMID during apoptosis in human cells. Apoptosis. USA: Springer Science, 2007, roč. 12, č. 7, s. 1155-1171. ISSN 1360-8185. info
- ULMAN, Vladimír a Jan HUBENÝ. Pseudo-real Image Sequence Generator for Optical Flow Computations. In Proceedings of 15th Scandinavian Conference on Image Analysis. LNCS 4522. Heidelberg: Springer, 2007, s. 976-985. ISBN 978-3-540-73039-2. info
- SKALNÍKOVÁ, Magdalena, Eva BÁRTOVÁ, Vladimír ULMAN, Petr MATULA, David SVOBODA, Andrea HARNIČAROVÁ, Michal KOZUBEK a Stanislav KOZUBEK. Distinct patterns of histone methylation and acetylation in human interphase nuclei. Physiological Research. Prague: Czech Academy of Sciences, 2007, roč. 56, č. 6, s. 797-806. ISSN 0862-8408. info
- ULMAN, Vladimír. Mosaicking of High-resolution Biomedical Images Acquired from Wide-field Optical Microscope. In Proceedings of the 3rd European Medical and Biological Engineering Conference EMBEC'05. Praha: IFMBE Proceedings Series, vol. 11, 2005, s. 1-5. ISSN 1727-1983. info
2017/09/04