Scholar
Vladimír Ulman
Google Scholar ID: K6fU_HkAAAAJ
IT4Innovations National Supercomputing Center & Masaryk university
Citations & Impact
Citations
1,273
H-index
11
i10-index
11
Publications
20
Co-authors
9
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Involved in projects such as CellTrackingChallenge.net; Instructor at EMBL and EMBO courses; Developed HPC Workflow Manager for Fiji, Annotate microscopy images using the Segment Anything Model (SAM), Mastodon – a large-scale tracking and track-editing framework for large, multi-view images.
Research Experience
- 2022-present: Researcher CEITEC; 2021-present: Researcher at IT4Innovations; 2020-2020: Researcher IT4Innovations; 2020-present: Researcher and teacher CBIA; 2016-2020: Researcher/post-doc MPI-CBG; 2009-2016: Researcher CBIA; 2006-2014: ICT Administrator.
Education
- 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'.
Background
- Research interests include biomedical image processing, analysis, and simulation, particularly in big (image) data processing, high performance computing, 3D+t data visualization, simulations: generation of artificial live cell populations for testing quality of algorithms, time-lapse sequences, tracking, mosaicking and processing extensive images acquired in a part-by-part manner.
Miscellany
- Contact: Email vladimir.ulman@vsb.cz or ulman@fi.muni.cz; Address: 4th floor in the IT4I building Studentska street, Room A307 in the block A at Botanická street.
