Vladimír Ulman

According to our database, Vladimír Ulman authored at least 19 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generative modeling of living cells with SO(3)-equivariant implicit neural representations.

David Wiesner, Julian Suk, Sven Dummer, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink

Medical Image Anal., January, 2024

2019

Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy.

Martin Maska, Tereza Necasová, David Wiesner, Dmitry V. Sorokin, Igor Peterlík, Vladimír Ulman, David Svoboda

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

FiloGen: A Model-Based Generator of Synthetic 3-D Time-Lapse Sequences of Single Motile Cells With Growing and Branching Filopodia.

Dmitry V. Sorokin, Igor Peterlík, Vladimír Ulman, David Svoboda, Tereza Necasová, Katsiarina Morgaenko, Lívia Eiselleová, Lenka Tesarová, Martin Maska

IEEE Trans. Medical Imaging, 2018

Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia.

Igor Peterlík, David Svoboda, Vladimír Ulman, Dmitry V. Sorokin, Martin Maska

Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

Automatic Fusion of Segmentation and Tracking Labels.

Cem Emre Akbas, Vladimír Ulman, Martin Maska, Florian Jug, Michal Kozubek

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy.

David Svoboda, Vladimír Ulman

IEEE Trans. Medical Imaging, 2017

Model-based generation of synthetic 3D time-lapse sequences of motile cells with growing filopodia.

Dmitry V. Sorokin, Igor Peterlík, Vladimír Ulman, David Svoboda, Martin Maska

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Vascular network formation in silico using the extended cellular potts model.

David Svoboda, Vladimír Ulman, Peter Kovác, Barbara Salingova, Lenka Tesarová, Irena K. Koutna, Petr Matula

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

On proper simulation of chromatin structure in static images as well as in time-lapse sequences in fluorescence microscopy.

David Svoboda, Vladimír Ulman, Igor Peterlík

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells.

Vladimír Ulman, Zoltán Orémus, David Svoboda

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014

A benchmark for comparison of cell tracking algorithms.

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

Bioinform., 2014

On proper simulation of phenomena influencing image formation in fluorescence microscopy.

David Svoboda, Vladimír Ulman, Ludek Matyska, Martin Maska, Jan Bella, Stanislav Stejskal

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Towards a Realistic Distribution of Cells in Synthetically Generated 3D Cell Populations.

David Svoboda, Vladimír Ulman

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

2012

Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy.

David Svoboda, Vladimír Ulman

Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

2011

Boundary Treatment for Young-van Vliet Recursive Zero-Mean Gabor Filtering.

Vladimír Ulman

EURASIP J. Adv. Signal Process., 2011

2010

Improving Accuracy of Optical Flow of Heeger's Original Method on Biomedical Images.

Vladimír Ulman

Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

2007

Estimating large local motion in live-cell imaging using variational optical flow - towards motion tracking in live cell imaging using optical flow.

Jan Hubený, Vladimír Ulman, Pavel Matula

Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Pseudo-real Image Sequence Generator for Optical Flow Computations.

Vladimír Ulman, Jan Hubený

Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

On generating ground-truth time-lapse image sequences and flow fields.

Vladimír Ulman, Jan Hubený

Proceedings of the ICINCO 2007, 2007