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Vladimír Ulman
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Journal Articles
- 2024
- [j5]David Wiesner
, Julian Suk
, Sven Dummer
, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink
:
Generative modeling of living cells with SO(3)-equivariant implicit neural representations. Medical Image Anal. 91: 102991 (2024) - 2018
- [j4]Dmitry V. Sorokin
, Igor Peterlík
, Vladimír Ulman
, David Svoboda
, Tereza Necasová
, Katsiarina Morgaenko
, Lívia Eiselleová, Lenka Tesarová, Martin Maska
:
FiloGen: A Model-Based Generator of Synthetic 3-D Time-Lapse Sequences of Single Motile Cells With Growing and Branching Filopodia. IEEE Trans. Medical Imaging 37(12): 2630-2641 (2018) - 2017
- [j3]David Svoboda
, Vladimír Ulman
:
MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy. IEEE Trans. Medical Imaging 36(1): 310-321 (2017) - 2014
- [j2]Martin Maska
, 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 Streitová, Craig Carthel, Stefano Coraluppi, Nathalie Harder
, Karl Rohr, Klas E. G. Magnusson, Joakim Jaldén
, Helen M. Blau, Oleh Dzyubachyk
, Pavel Krízek, Guy M. Hagen
, David Pastor-Escuredo
, Daniel Jimenez-Carretero
, María J. Ledesma-Carbayo
, Arrate Muñoz-Barrutia, Erik Meijering, Michal Kozubek
, Carlos Ortiz-de-Solorzano
:
A benchmark for comparison of cell tracking algorithms. Bioinform. 30(11): 1609-1617 (2014) - 2011
- [j1]Vladimír Ulman
:
Boundary Treatment for Young-van Vliet Recursive Zero-Mean Gabor Filtering. EURASIP J. Adv. Signal Process. 2011 (2011)
Conference and Workshop Papers
- 2019
- [c14]Martin Maska, Tereza Necasová, David Wiesner, Dmitry V. Sorokin, Igor Peterlík, Vladimír Ulman, David Svoboda:
Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy. ICIP 2019: 819-823 - 2018
- [c13]Cem Emre Akbas, Vladimír Ulman, Martin Maska, Florian Jug
, Michal Kozubek
:
Automatic Fusion of Segmentation and Tracking Labels. ECCV Workshops (6) 2018: 446-454 - [c12]Igor Peterlík, David Svoboda, Vladimír Ulman, Dmitry V. Sorokin, Martin Maska
:
Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia. SASHIMI@MICCAI 2018: 71-79 - 2017
- [c11]Dmitry V. Sorokin, Igor Peterlík, Vladimír Ulman
, David Svoboda, Martin Maska
:
Model-based generation of synthetic 3D time-lapse sequences of motile cells with growing filopodia. ISBI 2017: 822-826 - 2016
- [c10]David Svoboda
, Vladimír Ulman, Peter Kovác, Barbara Salingova
, Lenka Tesarová, Irena K. Koutna, Petr Matula
:
Vascular network formation in silico using the extended cellular potts model. ICIP 2016: 3180-3183 - 2015
- [c9]Vladimír Ulman
, Zoltán Orémus, David Svoboda
:
TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells. ICIAP (1) 2015: 623-634 - [c8]David Svoboda, Vladimír Ulman, Igor Peterlík:
On proper simulation of chromatin structure in static images as well as in time-lapse sequences in fluorescence microscopy. ISBI 2015: 712-716 - 2014
- [c7]David Svoboda, Vladimír Ulman, Ludek Matyska
, Martin Maska
, Jan Bella, Stanislav Stejskal:
On proper simulation of phenomena influencing image formation in fluorescence microscopy. ICIP 2014: 3944-3948 - 2013
- [c6]David Svoboda
, Vladimír Ulman:
Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations. ICIAP (2) 2013: 429-438 - 2012
- [c5]David Svoboda
, Vladimír Ulman:
Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy. ICIAR (2) 2012: 473-482 - 2010
- [c4]Vladimír Ulman:
Improving Accuracy of Optical Flow of Heeger's Original Method on Biomedical Images. ICIAR (1) 2010: 263-273 - 2007
- [c3]Vladimír Ulman, Jan Hubený:
On generating ground-truth time-lapse image sequences and flow fields. ICINCO-RA (1) 2007: 234-239 - [c2]Vladimír Ulman, Jan Hubený:
Pseudo-real Image Sequence Generator for Optical Flow Computations. SCIA 2007: 976-985 - [c1]Jan Hubený, Vladimír Ulman, Pavel Matula:
Estimating large local motion in live-cell imaging using variational optical flow - towards motion tracking in live cell imaging using optical flow. VISAPP (2) 2007: 542-548
Informal and Other Publications
- 2023
- [i1]David Wiesner, Julian Suk, Sven Dummer, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink:
Generative modeling of living cells with SO(3)-equivariant implicit neural representations. CoRR abs/2304.08960 (2023)
Coauthor Index
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