Ing.

Tomáš Vičar

Ph.D.

FEEC, UBMI – Assistant professor

+420 54114 6617
vicar@vut.cz

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Ing. Tomáš Vičar, Ph.D.

Publications

  • 2024

    NAVRÁTIL, J.; KRATOCHVÍLOVÁ, M.; RAUDENSKÁ, M.; BALVAN, J.; VIČAR, T.; PETRLÁKOVÁ, K.; SUZUKI, K.; JADRNÁ, L.; BURŠA, J.; KRÄTER, M.; KYOOHYUN, K.; MASAŘÍK, M.; GUMULEC, J. Long-term zinc treatment alters the mechanical properties and metabolism of prostate cancer cells. Cancer Cell International, 2024, vol. 24, no. 1, p. 313 ( p.)ISSN: 1475-2867.
    Detail | WWW

  • 2023

    KOLÁŘ, R.; VIČAR, T.; CHMELÍK, J.; JAKUBÍČEK, R.; ODSTRČILÍK, J.; VALTEROVÁ, E.; NOHEL, M.; SKORKOVSKÁ, K.; TORNOW, R. Assessment of retinal vein pulsation through video-ophthalmoscopy and simultaneous biosignals acquisition. Biomedical Optics Express, 2023, vol. 14, no. 6, p. 2645-2657. ISSN: 2156-7085.
    Detail | WWW | Full text in the Digital Library

    VIČAR, T.; JAKUBÍČEK, R.; CHMELÍK, J.; KOLÁŘ, R. Registration of medical image sequences using auto-differentiation. In Medical Imaging and Computer-Aided Diagnosis: Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022). Lecture notes in Electrical Engineering. 1. Springer, 2023. p. 169-178. ISBN: 978-981-16-6774-9. ISSN: 1876-1100.
    Detail | WWW

  • 2022

    KOLÁŘ, R.; VIČAR, T.; ODSTRČILÍK, J.; VALTEROVÁ, E.; KRÁLÍK, M.; TORNOW, R. Multispectral retinal video-ophthalmoscope with fiber optic illumination. Journal of Biophotonics, 2022, vol. 15, no. 9, ISSN: 1864-0648.
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    RAUDENSKÁ, M.; KRATOCHVÍLOVÁ, M.; VIČAR, T.; GUMULEC, J.; BALVAN, J.; POLANSKÁ, H.; PŘIBYL, J.; MASAŘÍK, M. Cisplatin enhances cell stiffness and decreases invasiveness rate in prostate cancer cells by actin accumulation (vol 9, 1660, 2019). Scientific Reports. BERLIN: NATURE PORTFOLIO, 2022. ISSN: 2045-2322.
    Detail

    DOBEŠOVÁ, L.; GIER, T.; KOPEČNÁ, O.; PAGÁČOVÁ, E.; VIČAR, T.; BESTVATER, F.; TOUFAR, J.; BAČÍKOVÁ, A.; KOPEL, P.; FEDR, R.; HILDENBRAND, G.; FALKOVÁ, I.; FALK, M.; HAUSMANN, M. Incorporation of Low Concentrations of Gold Nanoparticles: Complex Effects on Radiation Response and Fate of Cancer Cells. Pharmaceutics, 2022, vol. 14, no. 1, p. 1-42. ISSN: 1999-4923.
    Detail | WWW | Full text in the Digital Library

    VIČAR, T.; CHMELÍK, J.; NAVRÁTIL, J.; KOLÁŘ, R.; CHMELÍKOVÁ, L.; ČMIEL, V.; JAGOŠ, J.; PROVAZNÍK, I.; MASAŘÍK, M.; GUMULEC, J. Cancer cell viscoelasticity measurement by quantitative phase and flow stress induction. BIOPHYSICAL JOURNAL, 2022, vol. 121, no. 9, p. 1632-1642. ISSN: 0006-3495.
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    NEMČEK, J.; VIČAR, T.; JAKUBÍČEK, R. Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - (Volume 2). SETUBAL: SciTePress, 2022. p. 111-116. ISBN: 978-989-758-552-4.
    Detail | WWW | Full text in the Digital Library

  • 2021

    VIČAR, T.; CHMELÍK, J.; JAKUBÍČEK, R.; CHMELÍKOVÁ, L.; GUMULEC, J.; BALVAN, J.; PROVAZNÍK, I.; KOLÁŘ, R. Self-supervised pretraining for transferable quantitative phase image cell segmentation. Biomedical Optics Express, 2021, vol. 12, no. 10, p. 6514-6528. ISSN: 2156-7085.
    Detail | WWW | Full text in the Digital Library

    FOJTŮ, M.; BALVAN, J.; VIČAR, T.; POLANSKÁ, H.; PELTANOVÁ, B.; MATĚJKOVÁ, S.; RAUDENSKÁ, M.; ŠTURALA, J.; MAYORGA BURREZO, P.; MASAŘÍK, M.; PUMERA, M. Silicane Derivative Increases Doxorubicin Efficacy in an Ovarian Carcinoma Mouse Model: Fighting Drug Resistance. ACS applied materials & interfaces, 2021, vol. 13, no. 27, p. 31355-31370. ISSN: 1944-8252.
    Detail | WWW

    NOVOTNÁ, P.; VIČAR, T.; HEJČ, J.; RONZHINA, M. Deep-Learning Premature Contraction Localization Using Gaussian Based Predicted Data. In Computing in Cardiology 2021. Computing in Cardiology. Computing in Cardiology 2021, 2021. p. 1-4. ISSN: 2325-887X.
    Detail | WWW

    VIČAR, T.; GUMULEC, J.; KOLÁŘ, R.; KOPEČNÁ, O.; PAGÁČOVÁ, E.; FALKOVÁ, I.; FALK, M. DeepFoci: Deep Learning-Based Algorithm for Fast Automatic Analysis of DNA Double-Strand Break Ionizing Radiation-Induced Foci. Computational and Structural Biotechnology Journal, 2021, vol. 19, no. 1, p. 1-16. ISSN: 2001-0370.
    Detail | WWW | Full text in the Digital Library

    EYER, L.; SVOBODA, P.; BALVAN, J.; VIČAR, T.; RAUDENSKÁ, M.; ŠTEFÁNIK, M.; HAVIERNIK, J.; HUVAROVÁ, I.; STRAKOVÁ, P.; RUDOLF, I.; HUBÁLEK, Z.; SELEY-RADTKE, K.; DE CLERCQ, E.; RŮŽEK, D. Broad-Spectrum Antiviral Activity of 3'-Deoxy-3'Fluoroadenosine against Emerging Flaviviruses. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, 2021, vol. 65, no. 2, p. 1-19. ISSN: 0066-4804.
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    KOLÁŘ, R.; VIČAR, T.; CHMELÍKOVÁ, L.; PROVAZNÍK, I. Increasing the Image Contrast via Fast Fluorescence Photobleaching. In 2021 43nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Elsevier, 2021. p. 2741-2744. ISBN: 978-1-7281-1179-7.
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    JAKUBÍČEK, R.; CHMELÍK, J.; VIČAR, T.; OUŘEDNÍČEK, P.; JAN, J. Deep learning based prediction of virtual non contrast CT images. In International Conference Proceeding Series (ICPS) - ISEEIE 2021: 2021 International Symposium on Electrical, Electronics and Information Engineering. ACM Proceedings. New York, NY, USA: Assiciation for Computing Machinery, 2021. p. 72-76. ISBN: 978-1-4503-8983-9. ISSN: 2168-4081.
    Detail | WWW

    VIČAR, T.; GUMULEC, J.; KOLÁŘ, R.; CHMELÍK, J.; NAVRATIL, J.; CHMELÍKOVÁ, L.; ČMIEL, V.; PROVAZNÍK, I.; MASAŘÍK, M. Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images. In IEEE Engineering in Medicine and Biology Society Conference Proceedings. Proceedings IEEE EMBC. 345 E 47TH ST, NEW YORK, NY 10017 USA: IEEE, 2021. p. 439-442. ISBN: 978-1-7281-1179-7. ISSN: 1557-170X.
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    ŠTĚPKA, P.; KRATOCHVÍLOVÁ, M.; KUCHYNKA, M.; RAUDENSKÁ, M.; HOLCOVA POLANSKA, H.; VIČAR, T.; VACULOVIC, T.; VACULOVIČOVÁ, M.; MASAŘÍK, M. Determination of Renal Distribution of Zinc, Copper, Iron, and Platinum in Mouse Kidney Using LA-ICP-MS. BioMed Research International, 2021, vol. 2021, no. 1, p. 1-8. ISSN: 2314-6141.
    Detail | WWW | Full text in the Digital Library

    VIČAR, T.; NOVOTNÁ, P.; HEJČ, J.; JANOUŠEK, O.; RONZHINA, M. Cardiac Abnormalities Recognition in ECG Using a Convolutional Network with Attention and Input with an Adaptable Number of Leads. In Computing in Cardiology 2021. Computing in Cardiology. Brno: Computing in Cardiology 2021, 2021. p. 1-4. ISSN: 2325-887X.
    Detail | WWW

    PEŠL, M.; HEJČ, J.; KULIK, T.; VIČAR, T.; NOVOTNÁ, P.; RONZHINA, M.; JAKUBÍK, J.; LEINVEBER, P.; GONZALEZ RIVAS, J.; STÁREK, Z. Cardiac arrhythmias classification in Kardiovize population study. In Computing in Cardiology 2021. Computing in Cardiology. IEEE Computer Society, 2021. p. 1-4. ISSN: 2325-887X.
    Detail | WWW

    GUMULEC, J.; VIČAR, T. Multimodal image segmentation. In Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 2. IOP Publishing, 2021. p. III.4.d-1 (III.4.d-12 p.)ISBN: 978-0-7503-3747-2.
    Detail | WWW

  • 2020

    VIČAR, T.; RAUDENSKÁ, M.; GUMULEC, J.; BALVAN, J. The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death. Scientific Reports, 2020, vol. 10, no. 1, p. 1-12. ISSN: 2045-2322.
    Detail | WWW | Full text in the Digital Library

    FOJTŮ, M.; BALVAN, J.; RAUDENSKÁ, M.; VIČAR, T.; ŠTURALA, J.; SOFER, Z.; LUXA, J.; PLUTNAR, J.; MASAŘÍK, M.; PUMERA, M. 2D Germanane Derivative as a Vector for Overcoming Doxorubicin Resistance in Cancer Cells. Applied Materials Today, 2020, vol. 20, no. 1, p. 100697-1 (100697-14 p.)ISSN: 2352-9407.
    Detail | WWW

    VIČAR, T.; CHMELÍK, J.; KOLÁŘ, R. Cell Segmentation in Quantitative Phase Images with Improved Iterative Thresholding Method. In EMBEC 2020, IFMBE Proceedings vol. 80. IFMBE PROCEEDINGS. Switzerland: Springer Nature Switzerland AG 2021, 2020. p. 233-239. ISBN: 978-3-030-64609-7. ISSN: 1680-0737.
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    JAKUBÍČEK, R.; VIČAR, T.; CHMELÍK, J. A Tool for Automatic Estimation of Patient Position in Spinal CT Data. In EMBEC 2020, IFMBE Proceedings 80. IFMBE PROCEEDINGS. Switzerland: Springer Nature Switzerland AG 2021, 2020. p. 51-56. ISBN: 978-3-030-64610-3. ISSN: 1680-0737.
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    KRULL, A.; VIČAR, T.; PRAKASH, M.; LALIT, M.; JUG, F. Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. Frontiers in Computer Science, 2020, vol. 2, no. 5, p. 1-9. ISSN: 2624-9898.
    Detail | WWW | Full text in the Digital Library

    HORÁKOVÁ, Z.; GUMULEC, J.; KOPEČNÁ, O.; PAGÁČOVÁ, E.; MASAŘÍK, M.; BAČÍKOVÁ, A.; FALKOVÁ, I.; RAUDENSKÁ, M.; VIČAR, T.; BINKOVÁ, H.; FALK, M. Dna repair in head and neck tumor cells and possibilities of its monitoring to estimate individual tumor radioresistance and selection of optimal primary treatmen. Časopis lékařů českých, 2020, vol. 159, no. 7-8, p. 268-274. ISSN: 0008-7335.
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    FEITH, M.; VIČAR, T.; GUMULEC, J.; RAUDENSKÁ, M.; GJÖRLOFF WINGREN, A.; MASAŘÍK, M.; BALVAN, J. Quantitative Phase Dynamics of Cancer Cell Populations Affected by Blue Light. Applied Sciences - Basel, 2020, vol. 10, no. 7, p. 1-13. ISSN: 2076-3417.
    Detail | WWW | Full text in the Digital Library

    NOVOTNÁ, P.; VIČAR, T.; RONZHINA, M.; HEJČ, J.; KOLÁŘOVÁ, J. Deep-Learning Premature Contraction Localization in 12-lead ECG From Whole Signal Annotations. In Computing in Cardiology 2020. Compuing in Cardiology 2013. 47. NEW YORK: IEEE, 2020. p. 1-4. ISBN: 978-1-7281-7382-5. ISSN: 2325-8861.
    Detail | WWW

    VIČAR, T.; HEJČ, J.; NOVOTNÁ, P.; RONZHINA, M.; JANOUŠEK, O. ECG Abnormalities Recognition Using Convolutional Network With Global Skip Connections and Custom Loss Function. In Computing in Cardiology 2020. Compuing in Cardiology 2013. 47. NEW YORK: IEEE, 2020. p. 1-4. ISBN: 978-1-7281-7382-5. ISSN: 2325-8861.
    Detail | WWW

  • 2019

    VIČAR, T.; NOVOTNÁ, P.; HEJČ, J.; RONZHINA, M.; SMÍŠEK, R. Sepsis Detection in Sparse Clinical Data Using Long Short-Term Memory Network with Dice Loss. In Computing in Cardiology 2019. Computers in Cardiology. 46. Singapore: Computing in Cardiology 2019, 2019. p. 1-4. ISSN: 0276-6574.
    Detail

    FOJTŮ, M.; BALVAN, J.; RAUDENSKÁ, M.; VIČAR, T.; BOUŠA, D.; SOFER, Z.; MASAŘÍK, M.; PUMERA, M. Black Phosphorus Cytotoxicity Assessments Pitfalls: Advantages and Disadvantages of Metabolic and Morphological Assays. CHEMISTRY-A EUROPEAN JOURNAL, 2019, vol. 25, no. 1, p. 349-360. ISSN: 0947-6539.
    Detail | WWW

    VIČAR, T.; KOLÁŘ, R. Univerzální nástroj pro regresi a segmentaci obrazů pomocí hlubokého učení. In Trendy v biomedicínskom inžinierstve 2019. Terchová, Slovensko: Žilinská univerzita, 2019. p. 1-5. ISBN: 978-80-554-1587-1.
    Detail

    CHMELÍK, J.; JAKUBÍČEK, R.; VIČAR, T.; WALEK, P.; OUŘEDNÍČEK, P.; JAN, J. Iterative machine learning based rotational alignment of brain 3D CT data. In 2019 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Proceedings IEEE EMBC. Berlin, Germany: IEEE, 2019. p. 4404-4408. ISBN: 978-1-5386-1312-2. ISSN: 1557-170X.
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    VIČAR, T.; BALVAN, J.; JAROŠ, J.; JUG, F.; KOLÁŘ, R.; MASAŘÍK, M.; GUMULEC, J. Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison. BMC BIOINFORMATICS, 2019, vol. 20, no. 1, p. 1-25. ISSN: 1471-2105.
    Detail | WWW | Full text in the Digital Library

    RAUDENSKÁ, M.; KRATOCHVÍLOVÁ, M.; VIČAR, T.; GUMULEC, J.; BALVAN, J.; POLANSKÁ, H.; PŘIBYL, J.; MASAŘÍK, M. Cisplatin enhances cell stiffness and decreases invasiveness rate in prostate cancer cells by actin accumulation. Scientific Reports, 2019, vol. 9, no. 1, p. 1-11. ISSN: 2045-2322.
    Detail | WWW | Full text in the Digital Library

    VIČAR, T.; GUMULEC, J.; BALVAN, J.; HRACHO, M.; KOLÁŘ, R. Label-free nuclear staining reconstruction in quantitative phase images using deep learning. In World Congress on Medical Physics and Biomedical Engineering, June 3-8, 2018, Prague, Czech Republic. Springer, Singapore, 2019. p. 239-242. ISBN: 978-981-10-9034-9.
    Detail | WWW

    PAGÁČOVÁ, E.; ŠTEFANČÍKOVÁ, L.; SCHMIDT-KALER, F.; HILDENBRAND, G.; VIČAR, T.; DEPEŠ, D.; LEE, J.; BESTVATER, F.; LACOMBE, S.; PORCEL, E.; ROUX, S.; WENZ, F.; KOPEČNÁ, O.; FALKOVÁ, I.; HAUSMANN, M.; FALK, M. Challenges and Contradictions of Metal Nano-Particle Applications for Radio-Sensitivity Enhancement in Cancer Therapy. International Journal of Molecular Sciences, 2019, vol. 20, no. 3, p. 1-25. ISSN: 1422-0067.
    Detail | WWW | Full text in the Digital Library

  • 2018

    GUMULEC, J.; RAUDENSKÁ, M.; KRATOCHVÍLOVÁ, M.; PŘIBYL, J.; VIČAR, T.; MASAŘÍK, M. Enhancement of cell stiffness and disorganization of cytoskeletal architecture upon cisplatin treatment in head and neck cancer cell model. 2018. p. P1607 (P1607 p.)
    Detail

    VIČAR, T. Robust Cell Nuclei Tracking Using Gaussian Mixture Shape Model. In Proceedings of the 24th Conference STUDENT EEICT 2018. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních, 2018. p. 590-593. ISBN: 978-80-214-5614-3.
    Detail | WWW

  • 2017

    VIČAR, T. Cell Detection Methods for the Images from Holograpic Microscope. In Proceedings of the 23rd Conference STUDENT EEICT 2017. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních, 2017. p. 334-338. ISBN: 978-80-214-5496- 5.
    Detail | WWW

    GUMULEC, J.; RAUDENSKÁ, M.; KRATOCHVÍLOVÁ, M.; PŘIBYL, J.; PELTANOVÁ, B.; VIČAR, T.; MASAŘÍK, M. Association of cell stiffness and migratory potential of head and neck and prostate cancer cells exposed to cytostatics. 2017. p. P3001 (P3001 p.)
    Detail

    VIČAR, T.; KOLÁŘ, R. Random Forests Pixel-wise Classification for Detection and Segmentation of Cells in the Images from Holographic Microscope. In Proceedings of IEEE Student Branch Conference Mikulov 2017. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2017. p. 67-70. ISBN: 978-80-214-5526-9.
    Detail | WWW

  • 2016

    VIČAR, T. Inicializace aktivních kontur pro sledování buněk v obrazech z holografického mikroskopu. In Proceedings of the 22nd Conference STUDENT EEICT 2016. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2016. p. 241-243. ISBN: 978-80-214-5350- 0.
    Detail | WWW

*) Publications are generated once a 24 hours.