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Roman Stoklasa
Roman Stoklasa
Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University
Email verificata su fi.muni.cz
Titolo
Citata da
Citata da
Anno
Decentralized federated learning for healthcare networks: A case study on tumor segmentation
BC Tedeschini, S Savazzi, R Stoklasa, L Barbieri, I Stathopoulos, M Nicoli, ...
IEEE access 10, 8693-8708, 2022
1202022
Efficient k-NN based HEp-2 cells classifier
R Stoklasa, T Majtner, D Svoboda
Pattern Recognition 47 (7), 2409-2418, 2014
572014
Arrangement of nuclear structures is not transmitted through mitosis but is identical in sister cells
DY Orlova, L Stixová, S Kozubek, HJ Gierman, G Šustáčková, ...
Journal of cellular biochemistry 113 (11), 3313-3329, 2012
172012
RSurf: the efficient texture-based descriptor for fluorescence microscopy images of HEp-2 cells
T Majtner, R Stoklasa, D Svoboda
2014 22nd International Conference on Pattern Recognition, 1194-1199, 2014
112014
Road detection using similarity search
R Stoklasa, P Matula
2nd International Conference on Robotics in Education, 95-102, 2011
92011
Automated cell segmentation in phase-contrast images based on classification and region growing
R Stoklasa, L Bálek, P Krejčí, P Matula
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1447-1451, 2015
82015
Texture analysis of 3D fluorescence microscopy images using RSurf 3D features
R Stoklasa, T Majtner
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1212-1216, 2016
42016
Brain MRI Screening Tool with Federated Learning
R Stoklasa, I Stathopoulos, E Karavasilis, E Efstathopoulos, M Dostál, ...
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024
12024
HEp-2 Cells Classifier-version v1. 2.1 (Linux)
R Stoklasa, T Majtner, D Svoboda, M Batko
1st International Contest on HEp-2 Cells Classification, 2012
12012
Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis
I Stathopoulos, R Stoklasa, MA Kouri, G Velonakis, E Karavasilis, ...
Journal of Imaging 11 (1), 6, 2024
2024
Investigation and perspectives of using Graph Neural Networks to model complex systems: the simulation of the helium II bayonet heat exchanger in the LHC
R Stoklasa, N Calabrese, L Serio
IOP Conference Series: Materials Science and Engineering 1301 (1), 012157, 2024
2024
BRAIN LESIONS SCREENING TOOL BASED ON DEEP LEARNING
I Stathopoulos, R Stoklasa, A Tsochatzis, G Velonakis, E Karavasilis, ...
Physica Medica: European Journal of Medical Physics 104, S19, 2022
2022
RSurf Texture Descriptor
T Majtner, R Stoklasa, D Svoboda
2014
HEp-2 Cells Classifier
R Stoklasa, T Majtner, D Svoboda, M Batko
2012
Segmentácia obrazu použitím hĺbkovej mapy
R Stoklasa
Masarykova univerzita, Fakulta informatiky, 2008
2008
HEp-2 Cells Classifier-version v1. 1.1 (Windows)
R Stoklasa, T Majtner, D Svoboda, M Batko
Semantic Segmentation Based On Similarity
MR Stoklasa
Vizuálna navigácia autonómnych robotov s využitím podobnostného vyhľadávania
BR Stoklasa
Semantic-Segmentation of Biomedical Images based on Visual Similarity
R Stoklasa
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–19