Roman Stoklasa

According to our database, Roman Stoklasa authored at least 9 papers between 2014 and 2025.

Collaborative distances:

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

2025

Standardized Multi-Layer Tissue Maps for Enhanced Artificial Intelligence Integration and Search in Large-Scale Whole Slide Image Archives.

Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul R. Torke, Michaela Kargl, Heimo Müller, Tomás Brázdil, Matej Gallo, Jaroslav Kubín, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub

CoRR, August, 2025

Image Harmonization Using Robust Restricted CDF Matching.

Roman Stoklasa

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis.

Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios P. Efstathopoulos, Luigi Serio

J. Imaging, 2024

Brain MRI Screening Tool with Federated Learning.

Roman Stoklasa, Ioannis Stathopoulos, Efstratios Karavasilis, Efstathios P. Efstathopoulos, Marek Dostál, Milos Kerkovský, Michal Kozubek, Luigi Serio

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation.

Bernardo Camajori Tedeschini, Stefano Savazzi, Roman Stoklasa, Luca Barbieri, Ioannis Stathopoulos, Monica Nicoli, Luigi Serio

IEEE Access, 2022

2016

Texture analysis of 3D fluorescence microscopy images using RSurf 3D features.

Roman Stoklasa, Tomás Majtner

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Automated cell segmentation in phase-contrast images based on classification and region growing.

Roman Stoklasa, Lukas Balek, Pavel Krejcí, Petr Matula

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

2014

Efficient k-NN based HEp-2 cells classifier.

Roman Stoklasa, Tomás Majtner, David Svoboda

Pattern Recognit., 2014

RSURF - The Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEP-2 Cells.

Tomás Majtner, Roman Stoklasa, David Svoboda

Proceedings of the 22nd International Conference on Pattern Recognition, 2014