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Journal Articles
- 2022
[j3]Samuel Molcan
, Monika Smiesková, Hynek Bachratý, Katarína Bachratá:
Computational Study of Methods for Determining the Elasticity of Red Blood Cells Using Machine Learning. Symmetry 14(8): 1732 (2022)- 2021
- [j2]Katarína Bachratá, Katarína Buzáková, Michal Chovanec, Hynek Bachratý, Monika Smiesková, Alzbeta Bohiniková:
Classification of Red Blood Cell Rigidity from Sequence Data of Blood Flow Simulations Using Neural Networks. Symmetry 13(6): 938 (2021) - 2020
- [j1]Hynek Bachratý, Katarína Bachratá, Michal Chovanec, Iveta Jancigová, Monika Smiesková, Kristína Kovalcíková:
Applications of machine learning for simulations of red blood cells in microfluidic devices. BMC Bioinform. 21-S(2): 90 (2020)
Conference and Workshop Papers
- 2021
- [c5]Katarína Buzáková, Katarína Bachratá, Hynek Bachratý, Michal Chovanec:
Possibilities of using Neural Networks to Blood Flow Modelling. BIOINFORMATICS 2021: 140-147 - [c4]Kristína Kovalcíková, Hynek Bachratý, Katarína Bachratá, Katarína Buzáková:
Numerical Experiment Characteristics Dependence on Red Blood Cell Parameters. IDT 2021: 286-292 - 2019
- [c3]Kristína Kovalcíková, Ivan Cimrák, Katarína Bachratá, Hynek Bachratý:
Comparison of Numerical and Laboratory Experiment Examining Deformation of Red Blood Cell. IWBBIO (2) 2019: 75-86 - [c2]Michal Chovanec, Hynek Bachratý, Katarína Jasencáková, Katarína Bachratá:
Convolutional Neural Networks for Red Blood Cell Trajectory Prediction in Simulation of Blood Flow. IWBBIO (2) 2019: 284-296 - 2018
- [c1]Hynek Bachratý, Katarína Bachratá, Michal Chovanec, Frantisek Kajánek, Monika Smiesková, Martin Slavík:
Simulation of Blood Flow in Microfluidic Devices for Analysing of Video from Real Experiments. IWBBIO (1) 2018: 279-289
Coauthor Index
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