Characterisation of Cells Migration Through Cardiac Tissue Using Advanced Microscopy Techniques and Matlab Simulation. - Larisa Baiazitova; Josef Skopalík; Vratislav Cmiel; Jirí Chmelík; Ondrej Svoboda; Zdenka Fohlerova; Jaromír Hubálek; Ivo Provazník (CinC, 2015)

Combined bone lesion analysis in 3D CT data of vertebrae. - Jirí Jan; Michaela Novosadová; Jan Demel; Petr Ourednicek; Jirí Chmelík; Roman Jakubícek (EMBC, 2015)

SVM Based ECG Classification Using Rhythm and Morphology Features, Cluster Analysis and Multilevel Noise Estimation. - Radovan Smísek; Jakub Hejc; Marina Ronzhina; Andrea Nemcová; Lucie Marsánová; Jirí Chmelík; Jana Kolárová; Ivo Provazník; Lukás Smital; Martin Vítek (CinC, 2017)

VEAAR: virtual environment for archaeological artefacts restoration. - Jirí Chmelík; Mikolás Jurda (VRST, 2017)

An immersive virtual environment for collaborative geovisualization. - Milan Dolezal; Jirí Chmelík; Fotis Liarokapis (VS-GAMES, 2017)

Automatic Segmentation of Myocardial Infarction in Rats Subjected to Regional Ischemia. - Roman Jakubícek; Jirí Chmelík; Jan Neckar; Radim Kolár (CinC, 2018)

Digitization and Visualization of Movements of Slovak Folk Dances. - Matus Hajdin; Iris Kico; Milan Dolezal; Jirí Chmelík; Anastasios D. Doulamis; Fotis Liarokapis (ICL (2), 2018)

Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data. - Jirí Chmelík; Roman Jakubícek; Petr Walek; Jirí Jan; Petr Ourednicek; Lukás Lambert; Elena Amadori; Giampaolo Gavelli (Medical Image Anal., 2018)

Iterative machine learning based rotational alignment of brain 3D CT data. - Jirí Chmelík; Roman Jakubícek; Tomás Vicar; Petr Walek; Petr Ourednicek; Jirí Jan (EMBC, 2019)

Deep-learning-based fully automatic spine centerline detection in CT data. - Roman Jakubícek; Jirí Chmelík; Petr Ourednicek; Jirí Jan (EMBC, 2019)

Identification of altitude profiles in 3D geovisualizations: the role of interaction and spatial abilities. - Petr Kubícek; Cenek Sasinka; Zdenek Stachon; Lukás Herman; Vojtech Jurík; Tomás Urbánek; Jirí Chmelík (Int. J. Digit. Earth, 2019)

Collaborative Immersive Virtual Environments for Education in Geography. - Cenek Sasinka; Zdenek Stachon; Michal Sedlák; Jirí Chmelík; Lukás Herman; Petr Kubícek; Alzbeta Sasinková; Milan Dolezal; Hynek Tejkl; Tomás Urbánek; Hana Svatonova; Pavel Ugwitz; et al. (ISPRS Int. J. Geo Inf., 2019)

PINGU Principles of Interactive Navigation for Geospatial Understanding. - Zoltán Orémus; Kahin Akram Hassan; Jirí Chmelík; Michaela Knazková; Jan Byska; Renata Georgia Raidou; Barbora Kozlíková (PacificVis, 2020)

Learning-based vertebra localization and labeling in 3D CT data of possibly incomplete and pathological spines. - Roman Jakubícek; Jirí Chmelík; Jirí Jan; Petr Ourednicek; Lukás Lambert; Giampaolo Gavelli (Comput. Methods Programs Biomed., 2020)

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

A Tool for Automatic Estimation of Patient Position in Spinal CT Data. - Roman Jakubícek; Tomás Vicar; Jirí Chmelík (CoRR, 2020)

Localization and classification of intracranialhemorrhages in CT data. - Jakub Nemcek; Roman Jakubícek; Jirí Chmelík (CoRR, 2020)

Metody detekce, segmentace a klasifikace obtížně definovatelných kostních nádorových lézí ve 3D CT datech ; Methods of Detection, Segmentation and Classification of Difficult to Define Bone Tumor Lesions in 3D CT Data. - Jirí Chmelík (2020)

Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images. - Tomás Vicar; Jaromir Gumulec; Radim Kolár; Jirí Chmelík; Jiri Navratil; Larisa Chmelíková; Vratislav Cmiel; Ivo Provazník; Michal Masarik (EMBC, 2021)

Deep-learning Based Prediction of Virtual Non-contrast CT Images. - Roman Jakubícek; Tomás Vicar; Jirí Chmelík; Petr Ourednicek; Jirí Jan (ISEEIE, 2021)

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. - Anjany Sekuboyina; Malek El Husseini; Amirhossein Bayat; Maximilian Löffler; Hans Liebl; Hongwei Li 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

Exploring tilting methods for typing under water. - Jan Cejka; Jirí Chmelík; Fotis Liarokapis (Multim. Tools Appl., 2021)

A Comparison of Monoscopic and Stereoscopic 3D Visualizations: Effect on Spatial Planning in Digital Twins. - Lukás Herman; Vojtech Jurík; Dajana Snopková; Jirí Chmelík; Pavel Ugwitz; Zdenek Stachon; Cenek Sasinka; Tomás Rezník (Remote. Sens., 2021)

Registration of Medical Image Sequences Using Auto-differentiation. - Tomás Vicar; Roman Jakubícek; Jirí Chmelík; Radim Kolár (MICAD, 2022)

Geography Education in a Collaborative Virtual Environment: A Qualitative Study on Geography Teachers. - Katerina Jochecová; Michal Cerný; Zdenek Stachon; Hana Svedová; Natálie Kácová; Jirí Chmelík; Vojtech Bruza; Ondrej Kvarda; Pavel Ugwitz; Alzbeta Sasinková; Nicola Catherine Fortová; Cenek Sasinka (ISPRS Int. J. Geo Inf., 2022)

Who benefits and who doesn't in virtual reality learning: An experimental study comparing two types of school. - Radovan Sikl; Karla Brücknerová; Hana Svedová; Filip Dechterenko; Pavel Ugwitz; Jirí Chmelík; Hana Pokorná; Vojtech Jurík (J. Comput. Assist. Learn., 2024)

Immersive and Interactive Learning With eDIVE: A Solution for Creating Collaborative VR Education Experiences. - Vojtech Bruza; Alzbeta Sasinková; Cenek Sasinka; Zdenek Stachon; Barbora Kozlíková; Jirí Chmelík (Comput. Graph. Forum, 2025)