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    2023

    1. HOLUB, Petr, Heimo MÜLLER, Tomáš BÍL, Luca PIREDDU, Markus PLASS, Fabian PRASSER, Irene SCHLÜNDER, Kurt ZATLOUKAL, Rudolf NENUTIL and Tomáš BRÁZDIL. Privacy risks of whole-slide image sharing in digital pathology. Nature Communications. 2023, vol. 14, No 2577, p. 1-15. ISSN 2041-1723. Available from: https://dx.doi.org/10.1038/s41467-023-37991-y.
    2. MYSLIVEČEK, Jan and Radim POLČÁK. Strategické řízení procesu digitalizace univerzity. In Digitální transformace univerzit. 2023.
    3. HORÁK, Jiří, Katarína FURMANOVÁ, Barbora KOZLÍKOVÁ, Tomáš BRÁZDIL, Petr HOLUB, Martin KAČENGA, Matej GALLO, Rudolf NENUTIL, Jan BYŠKA and Vít RUSŇÁK. xOpat: eXplainable Open Pathology Analysis Tool. COMPUTER GRAPHICS FORUM. England: Wiley, 2023, vol. 42, No 3, p. 63-73. ISSN 0167-7055. Available from: https://dx.doi.org/10.1111/cgf.14812.

    2022

    1. BRÁZDIL, Tomáš, Matej GALLO, Rudolf NENUTIL, Andrej KUBANDA, Martin TOUFAR and Petr HOLUB. Automated annotations of epithelial cells and stroma in hematoxylin–eosin-stained whole-slide images using cytokeratin re-staining. The Journal of Pathology: Clinical Research. 2022, vol. 8, No 2, p. 129-142. ISSN 2056-4538. Available from: https://dx.doi.org/10.1002/cjp2.249.
    2. KUBINEC, Jan, Viktorie ŠIRŮČKOVÁ, Jana HAVLÍČKOVÁ, Jan KOTEK, Vojtěch KUBÍČEK, Přemysl LUBAL and Petr HERMANN. Complexes of NOTA-Monoamides with CuII Ions: Structural, Equilibrium, and Kinetic Study. European Journal of Inorganic Chemistry. Wiley-VCH GmbH, 2022, vol. 2022, No 19, p. 1-11. ISSN 1434-1948. Available from: https://dx.doi.org/10.1002/ejic.202200173.
    3. BRÁZDIL, Tomáš, David KLAŠKA, Antonín KUČERA, Vít MUSIL, Petr NOVOTNÝ and Vojtěch ŘEHÁK. On-the-fly Adaptation of Patrolling Strategies in Changing Environments. Online. In James Cussens, Kun Zhang. Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022. Neuveden: Proceedings of Machine Learning Research, 2022, p. 244-254. ISBN 978-1-7138-6329-8.

    2021

    1. SLANINÁKOVÁ, Terézia, Matej ANTOL, Jaroslav OĽHA and Vlastislav DOHNAL. Data-driven Learned Metric Index: an Unsupervised Approach. In 14th International Conference on Similarity Search and Applications (SISAP 2021). Cham: Springer, 2021, p. 81-94. ISBN 978-3-030-89656-0. Available from: https://dx.doi.org/10.1007/978-3-030-89657-7_7.
    2. ANTOL, Matej, Jaroslav OĽHA, Terézia SLANINÁKOVÁ and Vlastislav DOHNAL. Learned metric index - proposition of learned indexing for unstructured data. Information Systems. Elsevier, 2021, vol. 100, No 101774, p. 1-12. ISSN 0306-4379. Available from: https://dx.doi.org/10.1016/j.is.2021.101774.
    3. ANTOL, Matej, Miriama JÁNOŠOVÁ and Vlastislav DOHNAL. Metric hull as similarity-aware operator for representing unstructured data. Pattern Recognition Letters. Amsterdam: Elsevier, 2021, vol. 149, September 2021, p. 91-98. ISSN 0167-8655. Available from: https://dx.doi.org/10.1016/j.patrec.2021.05.011.
    4. 4D-GRAPHS (software)
      BRÁZDIL, Tomáš, David PORTEŠ, Jiří FILIPOVIČ, Jana HOZZOVÁ, Thomas EVANGELIDIS and Konstantinos TRIPSIANES. 4D-GRAPHS. 2021.

    2020

    1. FILIPOVIČ, Jiří, Ondřej VÁVRA, Jan PLHÁK, David BEDNÁŘ, Sérgio Manuel MARQUES, Jan BREZOVSKÝ, Luděk MATYSKA and Jiří DAMBORSKÝ. CaverDock: A Novel Method for the Fast Analysis of Ligand Transport. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Los Alamitos: IEEE Computer Society, 2020, vol. 17, No 5, p. 1625-1638. ISSN 1545-5963. Available from: https://dx.doi.org/10.1109/TCBB.2019.2907492.

    2019

    1. ANTOL, Matej and Vlastislav DOHNAL. BM-index: Balanced Metric Space Index based on Weighted Voronoi Partitioning. In Lecture Notes in Computer Science. Advances in Databases and Information Systems, 23th East European Conference, ADBIS 2019. LNCS 11695. Cham: Springer International Publishing, 2019, p. 337-353. ISBN 978-3-030-28729-0. Available from: https://dx.doi.org/10.1007/978-3-030-28730-6_21.
    2. VÁVRA, Ondřej, Jiří FILIPOVIČ, Jan PLHÁK, David BEDNÁŘ, Sérgio Manuel MARQUES, Jan BREZOVSKÝ, Jan ŠTOURAČ, Luděk MATYSKA and Jiří DAMBORSKÝ. CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels. Bioinformatics. Oxford: Oxford University Press, 2019, vol. 35, No 23, p. 4986-4993. ISSN 1367-4803. Available from: https://dx.doi.org/10.1093/bioinformatics/btz386.

    2018

    1. LINDEN, Mikael, Michal PROCHÁZKA, Ilkka LAPPALAINEN, Dominik František BUČÍK, Pavel VYSKOČIL, Martin KUBA, Sami SILÉN, Peter BELMANN, Alexander SCZYRBA, Steven NEWHOUSE, Luděk MATYSKA and Tommi NYRÖNEN. Common ELIXIR Service for Researcher Authentication and Authorisation. F1000Research. F1000 Research Ltd., 2018, vol. 7, No 2018, p. 1-16. ISSN 2046-1402. Available from: https://dx.doi.org/10.12688/f1000research.15161.1.
    2. SALOMONI, Davide, Luciano GAIDO, Isabel Campos PLASENCIA, Jesus E Marco de LUCAS, Peter SOLAGNA, Jorge GOMES, Luděk MATYSKA, P FUHRMAN, Marcus HARDT, Giacinto DONVITO, L DUTKA, Marcin Pl o CIENNIK, Roberto BARBERA, Cristina AIFTIMIEI, Ignacio BLANQUER, Andrea CECCANTI, Mario DAVID, Alvaro Lopez GARCIA, German MOLTO, P ORVIZ, Zdeněk SUSTR, M VILJOEN, Fernando AGUILAR, L ALVES, Alexandre BONVING, Riccardo BRUNO, D DAVIDOVIC, Marco FARGETTA, Yen CHEN, Sandro FIORE, Z KURKCUOGLU, L LLORET, J MARTINS, Alessandra NUZZO, Paola NASSISI, J PINA, Eva SCIACCA, Daniele SPIGA, M TANGARO, Michal URBANIAK, Bas WEGH and T ZOK. INDIGO-DataCloud: A platform to facilitate seamless access to e-infrastructures. Journal of Grid Computing. Springer Science+Business Media B.V., 2018, vol. 16, No 3, p. 381-408. ISSN 1570-7873. Available from: https://dx.doi.org/10.1007/s10723-018-9453-3.
    3. ANTOL, Matej and Vlastislav DOHNAL. Towards Artificial Priority Queues for Similarity Query Execution. Online. In 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW). Paris, France: IEEE, 2018, p. 78-83. ISBN 978-1-5386-6306-6. Available from: https://dx.doi.org/10.1109/ICDEW.2018.00020.

    2017

    1. ANTOL, Matej and Vlastislav DOHNAL. Popularity-Based Ranking for Fast Approximate kNN Search. Informatica. Lithuanian Academy of Sciences, 2017, vol. 28, No 1, p. 1-21. ISSN 0868-4952. Available from: https://dx.doi.org/10.15388/Informatica.2017.118.
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