Determination of precession and dissipation parameters in micromagnetism. - Ivan Cimrák; Valdemar Melicher (J. Comput. Appl. Math., 2010)

Level set method for the inverse elliptic problem in nonlinear electromagnetism. - Ivan Cimrák; Roger Van Keer (J. Comput. Phys., 2010)

A tunable cancer cell filter using magnetic beads: cellular and fluid dynamic simulations - Markus Gusenbauer; Ivan Cimrák; Simon Bance; Lukas Exl; Franz Reichel; Harald Oezelt; Thomas Schrefl (CoRR, 2011)

Mixed Tikhonov regularization in Banach spaces based on domain decomposition. - Ivan Cimrák; Valdemar Melicher (Appl. Math. Comput., 2012)

Modelling and simulation of processes in microfluidic devices for biomedical applications. - Ivan Cimrák; Markus Gusenbauer; Thomas Schrefl (Comput. Math. Appl., 2012)

Material and Shape Derivative Method for Quasi-Linear Elliptic Systems with Applications in Inverse Electromagnetic Interface Problems. - Ivan Cimrák (SIAM J. Numer. Anal., 2012)

An ESPResSo implementation of elastic objects immersed in a fluid. - Ivan Cimrák; Markus Gusenbauer; Iveta Jancigová (Comput. Phys. Commun., 2014)

Mesh-Based Modeling of Individual Cells and Their Dynamics in Biological Fluids. - Ivan Cimrák; Iveta Jancigová; Renáta Tóthová; Markus Gusenbauer (Applications of Computational Intelligence in Biomedical Technology, 2015)

Simulation study of rare cell trajectories and capture rate in periodic obstacle arrays. - Martin Busík; Iveta Jancigová; Renáta Tóthová; Ivan Cimrák (J. Comput. Sci., 2016)

Red Blood Cell Model Validation in Dynamic Regime. - Kristína Kovalcíková; Alzbeta Bohiniková; Martin Slavík; Isabelle Mazza Guimaraes; Ivan Cimrák (IWBBIO (1), 2018)

Dissipative Coupling of Fluid and Immersed Objects for Modelling of Cells in Flow. - Martin Busík; Martin Slavík; Ivan Cimrák (Comput. Math. Methods Medicine, 2018)

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

Analysis of the Behavior of the Red Blood Cell Model in a Tapered Microchannel. - Mariana Ondrusová; Ivan Cimrák (IWBBIO (2), 2019)

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)

Advancements in Red Blood Cell Detection using Convolutional Neural Networks. - Frantisek Kajánek; Ivan Cimrák (BIOINFORMATICS, 2020)

Automated Tracking of Red Blood Cells in Images. - Frantisek Kajánek; Ivan Cimrák; Peter Tarábek (IWBBIO, 2020)

PyOIF: Computational tool for modelling of multi-cell flows in complex geometries. - Iveta Jancigová; Kristína Kovalcíková; Rudolf Weeber; Ivan Cimrák (PLoS Comput. Biol., 2020)

Computational study of red blood cell behaviour in shear flow for different bending stiffness of the membrane. - Mariana Ondrusová; Ivan Cimrák (IDT, 2021)

Sensitivity Analysis of Adhesion in Computational Model of Elastic Doublet. - Alzbeta Bohiniková; Iveta Jancigová; Ivan Cimrák; James J. Feng (IWBBIO (2), 2022)

Modelling of Arbitrary Shaped Channels and Obstacles by Distance Function. - Kristína Kovalcíková Duracíková; Alzbeta Bugánová; Ivan Cimrák (IWBBIO (1), 2022)

Computational Study of Particle Separation Based on Inertial Effects in Rectangular Serpentine Channels with Different Aspect Ratios. - Alzbeta Bugánová; Ivan Cimrák (BIOINFORMATICS, 2023)

Semi-Automated Workflow for Computer-Generated Scoring of Ki67 Positive Cells from HE Stained Slides. - Dominika Petríková; Ivan Cimrák; Katarína Tobiásová; Lukás Plank (BIOINFORMATICS, 2023)

Digital Verification of Optically Variable Ink Feature on Identity Cards. - Lucia Piatriková; Peter Tarábek; Ivan Cimrák (FRUCT, 2023)

Survey of Recent Deep Neural Networks with Strong Annotated Supervision in Histopathology. - Dominika Petríková; Ivan Cimrák (Comput., 2023)

Mammography Datasets for Neural Networks - Survey. - Adam Mracko; Lucia Vanovcanová; Ivan Cimrák (J. Imaging, 2023)

Curated Dataset for Red Blood Cell Tracking from Video Sequences of Flow in Microfluidic Devices. - Ivan Cimrák; Peter Tarábek; Frantisek Kajánek (Data, 2023)

Deep Learning in Breast Calcifications Classification: Analysis of Cross-Database Knowledge Transferability. - Adam Mracko; Ivan Cimrák; Lucia Vanovcanová; Viera Lehotská (BIOSTEC (1), 2024)

Particle and Cell Cluster Separation Based on Inertial Effects in Rectangular Serpentine Channels. - Michal Mulík; Ivan Cimrák (BIOSTEC (1), 2024)

Ki67 Expression Classification from HE Images with Semi-Automated Computer-Generated Annotations. - Dominika Petríková; Ivan Cimrák; Katarína Tobiásová; Lukás Plank (BIOSTEC (1), 2024)

Generation of H&E-Stained Histopathological Images Conditioned on Ki67 Index Using StyleGAN Model. - Lucia Piatriková; Ivan Cimrák; Dominika Petríková (BIOSTEC (1), 2024)

Enhancing Breast Microcalcification Classification: From Binary to Three-Class Classifier. - Adam Mracko; Ivan Cimrák; Lucia Vanovcanová (FRUCT, 2024)

Dataset of Registered Hematoxylin-Eosin and Ki67 Histopathological Image Pairs Complemented by a Registration Algorithm. - Dominika Petríková; Ivan Cimrák; Katarína Tobiásová; Lukás Plank (Data, 2024)

Review of Recent Deep Learning Techniques Using Longitudinal Mammogram Data. - Aneta Gábrisová; Ivan Cimrák (AIME (2), 2025)

Quality Assessment and Filtering of HE-Stained Images for Machine Learning Applications. - Daniela Pavlíková; Lucia Piatriková; Ivan Cimrák (AIME (2), 2025)