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Project detail
Duration: 1.3.2020 — 28.2.2023
Funding resources
Vysoké učení technické v Brně - Vnitřní projekty VUT
On the project
Projekt je zaměřen obecně na aplikace inženýrských principů do oblastí biomedicíny, biologie a bioinformatiky. V těchto oblastech se zaměřuje na konkrétní témata, která jsou dlouhodobě předmětem výzkumu na UBMI. Jde zejména o zpracování a analýzu biosignálů (EKG, EMG, polysomnografie), zpracování a analýzu obrazů z různých zobrazovacích modalit (především optické zobrazování, MRI a CT), výzkum viability buněk pomocí mikroskopických metod a aplikace pokročilých matematických metod pro zpracování a analýzu genomických signálů.
Mark
FEKT-S-20-6195
Default language
Czech
People responsible
Kolář Radim, doc. Ing., Ph.D. - principal person responsibleBartoň Vojtěch, Ing. - fellow researcherČejková Darina, Mgr. Bc., Ph.D. - fellow researcherČmiel Vratislav, Ing., Ph.D. - fellow researcherEnikeev Amir, Ing. - fellow researcherFilipenská Marina, Ing., Ph.D. - fellow researcherHarabiš Vratislav, Ing., Ph.D. - fellow researcherHejč Jakub, Ing., Ph.D. - fellow researcherHesko Branislav, Ing. - fellow researcherHracho Michal, Ing. - fellow researcherChmelík Jiří, Ing., Ph.D. - fellow researcherChmelíková Larisa, Ph.D. - fellow researcherJakubíček Roman, Ing., Ph.D. - fellow researcherJakubíčková Markéta, Ing., Ph.D. - fellow researcherJanoušek Oto, Ing., Ph.D. - fellow researcherJugas Robin, Ing., Ph.D. - fellow researcherKašpar Jakub, Ing. - fellow researcherKolářová Jana, doc. Ing., Ph.D. - fellow researcherKozumplík Jiří, doc. Ing., CSc. - fellow researcherKrálík Martin, Ing. - fellow researcher
Units
Department of Biomedical Engineering- responsible department (21.6.2022 - not assigned)Department of Biomedical Engineering- internal (1.1.2020 - 31.12.2022)Faculty of Electrical Engineering and Communication- beneficiary (1.1.2020 - 31.12.2022)
Results
ŘEDINA, R.; HEJČ, J.; POSPÍŠIL, D.; FILIPENSKÁ, M.; NOVOTNÁ, P.; STÁREK, Z. Arrhythmia Database with Annotated Intracardial Atrial Signals from Pediatric Patients Undergoing Catheter Ablation. In Computing in Cardiology. IEEE Computer Society, 2022. p. 1-4. ISBN: 979-8-3503-0097-0.Detail
ŘEDINA, R.; FILIPENSKÁ, M. Enhancing Clinical Efficiency: Autonomous Determination of Cardiac Effective Refractory Period Using ECG Signals. Lékař a technika, 2024, vol. 54, no. 2, p. 37-42. ISSN: 0301-5491.Detail
VARŠOVÁ, K.; SZITÁS, D.; JANOUŠEK, O.; JURKOVIČOVÁ, L.; BARTOŠOVÁ, K.; JUŘÍK, V. Virtual reality exposure effect in acrophobia: psychological and physiological evidence from a single experimental session. VIRTUAL REALITY, 2024, vol. 28, no. 3, p. 1-14. ISSN: 1434-9957.Detail
PLOCKOVÁ, V.; SEDLÁŘ, K. Properties of Current Signals in Nanopore Sequencing. In Proceedings I of the 28th Conference STUDENT EEICT 2022. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. p. 120-123. ISBN: 978-80-214-6029-4.Detail
VARŠOVÁ, K.; JUŘÍK, V.; JANOUŠEK, O. VIRTUAL REALITY IN PSYCHOTHERAPY TRAINING: SHIFT TOWARDS MODERN TRAINING ENVIRONMENTS. 15th International Conference on Education and New Learning Technologies. Spain: Palma, 2023. p. 2641-2651. ISBN: 978-80-223-5610-7.Detail
KRISTÍNA, K.; JUŘÍK, V.; JANOUŠEK, O. Stavová úzkosť po vystavení výškovej situácii vo virtuálnej realite - rola pocitov prítomnosti a stelesnenia. Kognícia a umelý život 2023. Bratislava: Univerzita Komenského v Bratislave, 2023. ISBN: 978-80-223-5610-7.Detail
HEJČ, J.; ŘEDINA, R.; POSPÍŠIL, D.; RAKOVÁ, I.; KOLÁŘOVÁ, J.; STÁREK, Z. Weakly Supervised P Wave Segmentation in Pathological Electrocardiogram Signals Using Deep Multiple-instance Learning. In Computing in Cardiology 2023. Computing in Cardiology. 50. Atlanta: IEEE Computer Society, 2023. p. 1-4. ISSN: 2325-887X.Detail
HEJČ, J.; ŘEDINA, R.; KOLÁŘOVÁ, J.; STÁREK, Z. Epycon: A Single-platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats. In Computing in Cardiology 2023. Computing in Cardiology. 50. IEEE Computer Society, 2023. p. 1-4. ISSN: 2325-887X.Detail
HAMZA, A. Navigated Transcranial Magnetic Stimulation (nTMS) based Preoperative Planning for Brain Tumor Treatment. CNS & Neurological Disorders-Drug Targets, 2023, vol. 22, no. 10.2023, p. 1-11. ISSN: 1996-3181.Detail
POLÁKOVÁ, V. UTILIZATION OF CONVOLUTIONAL NEURAL NETWORKS FOR SEGMENTATION OF MOUSE EMBRYOS CARTILAGINOUS TISSUE IN MICRO-CTDATA. In PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2021. p. 106-110. ISBN: 978-80-214-5943-4.Detail
ŘEDINA, R.; FILIPENSKÁ, M. Estimation of myocardial conduction velocity using a coronary sinus catheter. In Proceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers. Proceedings II of the Conference STUDENT EEICT. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2023. p. 156-160. ISBN: 978-80-214-6154-3. ISSN: 2788-1334.Detail
SHAMAEI, A.; STARČUKOVÁ, J.; STARČUK, Z. Physics-informed deep learning approach to quantification of human brain metabolites from magnetic resonance spectroscopy data. COMPUTERS IN BIOLOGY AND MEDICINE, 2023, vol. 158, no. 1, p. 1-15. ISSN: 0010-4825.Detail
SIEMASZKO, J.; MARZEC-PRZYSZLAK, A.; BOGUNIA-KUBIK, K. NKG2D Natural Killer Cell Receptor-A Short Description and Potential Clinical Applications. Cells, 2021, vol. 10, no. 6, ISSN: 2073-4409.Detail
MATIAŠOVIC, J.; BZDIL, J.; PAPEŽÍKOVÁ, I.; ČEJKOVÁ, D.; VASINA, E.; BIZOS, J.; NAVRÁTIL, S.; ŠEDIVÁ, M.; KLAUDINY, J.; PIKULA, J. Genomic analysis of Paenibacillus larvae isolates from the Czech Republic and the neighbouring regions of Slovakia. RESEARCH IN VETERINARY SCIENCE, 2023, vol. 158, no. 3, p. 34-40. ISSN: 1532-2661.Detail
NEMČEK, J.; JAKUBÍČEK, R. ANALYSIS OF CIRCULATORY SYSTEM PATHOLOGIES IN HEAD CT DATA – HEMORRHAGE LOCALIZATION. Lékař a technika, 2021, vol. 51, no. 1-4, p. 66-70. ISSN: 0301-5491.Detail
RIZZO, R.; DZIADOSZ M.; KYATHANAHALLY, S.P.; SHAMAEI, A.; KREIS, R. Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias. MAGNETIC RESONANCE IN MEDICINE, 2022, vol. 1, no. 1, p. 1-21. ISSN: 0740-3194.Detail
SHAMAEI, A.; STARCUKOVA, J.; PAVLOVA, I.; STARCUK, Z. Model-informed unsupervised deep learning approaches to frequency and phase correction of MRS signals. MAGNETIC RESONANCE IN MEDICINE, 2022, vol. 89, no. 3, p. 1221-1236. ISSN: 0740-3194.Detail
HEJC, J.; POSPISIL, D.; NOVOTNA, P.; PESL, M.; JANOUSEK, O.; RONZHINA, M.; STAREK, Z. Segmentation of Atrial Electrical Activity in Intracardiac Electrograms (IECGs) Using Convolutional Neural Network (CNN) Trained on Small Imbalanced Dataset. In Computing in Cardiology. Compuing in Cardiology 2013. September 2021. NEW YORK: IEEE, 2021. p. 1-4. ISBN: 9781665479165. ISSN: 2325-8861.Detail
OSMANCIK, P.; HAVRANEK, S.; BULKOVA, V.; CHOVANCIK, j.; ROUBICEK, T.; HERMAN, D.; CERNA, Z.; TUKA, V.; MATOULEK, M.; FIALA, M.; JIRAVSKY, O.; STREGL-HRUSKOVA, S.; LATINAK, A.; KOTRYOVA, J.; JARKOVSKY, J. Catheter ablation versus antiarrhythmic drugs with risk factor modification for treatment of atrial fibrillation: a protocol of a randomised controlled trial (PRAGUE-25 trial). BMJ Open, 2022, vol. 12, no. 6, p. 1-8. ISSN: 2044-6055.Detail
SKLENSKY, J.; URBASEK, K.; SVEHLIK, M.; SVOZILOVA, V.; KOCANDA, J.; PRYMEK, M.; VYSKOCIL, R.; REPKO, M. The relationship of hip loading asymmetry and radiological parameters of the spine in Lenke type 1 idiopathic scoliosis. GAIT & POSTURE, 2022, vol. 94, no. May 2022, p. 160-165. ISSN: 0966-6362.Detail
Responsibility: Kolář Radim, doc. Ing., Ph.D.