Simulation of Blood Flow in Microfluidic Devices for Analysing of Video from Real Experiments. - Hynek Bachratý; Katarína Bachratá; Michal Chovanec; Frantisek Kajánek; Monika Smiesková; Martin Slavík (IWBBIO (1), 2018)

Convolutional Neural Networks for Red Blood Cell Trajectory Prediction in Simulation of Blood Flow. - Michal Chovanec; Hynek Bachratý; Katarína Jasencáková; Katarína Bachratá (IWBBIO (2), 2019)

Comparison of Numerical and Laboratory Experiment Examining Deformation of Red Blood Cell. - Kristína Kovalcíková; Ivan Cimrák; Katarína Bachratá; Hynek Bachratý (IWBBIO (2), 2019)

Applications of machine learning for simulations of red blood cells in microfluidic devices. - Hynek Bachratý; Katarína Bachratá; Michal Chovanec; Iveta Jancigová; Monika Smiesková; Kristína Kovalcíková (BMC Bioinform., 2020)

Possibilities of using Neural Networks to Blood Flow Modelling. - Katarína Buzáková; Katarína Bachratá; Hynek Bachratý; Michal Chovanec (BIOINFORMATICS, 2021)

Numerical Experiment Characteristics Dependence on Red Blood Cell Parameters. - Kristína Kovalcíková; Hynek Bachratý; Katarína Bachratá; Katarína Buzáková (IDT, 2021)

Classification of Red Blood Cell Rigidity from Sequence Data of Blood Flow Simulations Using Neural Networks. - Katarína Bachratá; Katarína Buzáková; Michal Chovanec; Hynek Bachratý; Monika Smiesková; Alzbeta Bohiniková (Symmetry, 2021)

Computational Study of Methods for Determining the Elasticity of Red Blood Cells Using Machine Learning. - Samuel Molcan; Monika Smiesková; Hynek Bachratý; Katarína Bachratá (Symmetry, 2022)