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)

Assessment of Computational Cell Model Benefits for Optimization of Microfluidic Devices. - Alzbeta Bohiniková; Inês Maia Gonçalves; Monika Smiesková; Alzbeta Bugánová; Ana S. Moita; Ivan Cimrák; Rui A. Lima (BIODEVICES, 2020)

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)

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)