P. Čermák

Most-cited papers

1. Transcranial Sonography of the Substantia Nigra: Digital Image Analysis

   D. Školoudík, Monika Jelínková, Jiri Blahuta, P. Čermák +4 more

   2014American Journal of Neuroradiology50 citations Open access

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2. A new program for highly reproducible automatic evaluation of the substantia nigra from transcranial sonographic images.

   Jiri Blahuta, Tomás Soukup, Monika Jelínková, P. Bártová +3 more

   2013Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia34 citations Open access

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3. Ultrasound medical image recognition with artificial intelligence for Parkinson's disease classification

   Jiri Blahuta, Tomás Soukup, P. Čermák, Jiri Rozsypal +1 more

   20122012 Proceedings of the 35th International Convention MIPRO23 citations

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4. The image recognition of brain-stem ultrasound images with using a neural network based on PCA

   Jiri Blahuta, Tomás Soukup, P. Čermák

   2011IEEE International Symposium on Medical Measurements and Applications22 citations

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5. Public Support of Solar Electricity and its Impact on Households - Prosumers

   Jarmila Zimmermannová, A. Pawliczek, P. Čermák

   201814 citations Open access

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6. Customer Profitability Analysis and Customer Life Time Value Models: Portfolio Analysis☆

   P. Čermák

   201513 citations Open access

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7. Image processing of medical diagnostic neurosonographical images in MATLAB

   Jiri Blahuta, Tomás Soukup, P. Čermák

   201113 citations

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8. Semi-automatic Ultrasound Medical Image Recognition for Diseases Classification in Neurology

   Jiri Blahuta, Tomás Soukup, P. Čermák, David Novak +1 more

   2013Advances in Intelligent Analysis of Medical Data and Decision Support Systems12 citations

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9. ROC and reproducibility analysis of designed algorithm for potential diagnosis of Parkinson's disease in ultrasound images

   Jiri Blahuta, Tomás Soukup, P. Čermák, Michal Vecerek +2 more

   201112 citations

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10. Advantages of using multi-agent principles in FAIL - SAFE UAV system design

    David Novak, P. Čermák

    2011International Conference on Methods & Models in Automation & Robotics9 citations

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11. Parameters optimization of fuzzy-neural dynamic model

    P. Čermák, P. Chmiel

    2004IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04.9 citations

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12. How to Detect and Analyze Atherosclerotic Plaques in B-MODE Ultrasound Images: A Pilot Study of Reproducibility of Computer Analysis

    Jiri Blahuta, Tomás Soukup, P. Čermák

    2016Artificial Intelligence: Methodology, Systems, Applications7 citations

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13. Possibilities of Multiagent Simulation Model Application in the Emission Allowances Trading Area

    Jarmila Zimmermannová, P. Čermák

    20147 citations Open access

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14. Solving the Box-Pushing Problem by Master-Slave Robots Cooperation

    M. Nemrava, P. Čermák

    20087 citations

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15. The recognition of substantia nigra in brain stem ultrasound images based on principal component analysis

    Jiri Blahuta, Tomás Soukup, P. Čermák

    20106 citations

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16. The Broker Simulation Model in the Emission Allowances Trading Area

    P. Čermák, Jarmila Zimmermannová, J. Lavrincik, M. Pokorný +1 more

    20155 citations

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17. A reproducible method to transcranial B-MODE ultrasound images analysis based on echogenicity evaluation in selectable ROI

    Jiri Blahuta, P. Čermák, Tomás Soukup, Michal Vecerek

    5 citations

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18. Ex-post Analysis of the EU Emission Trading in Year 2013 in the Czech Republic

    Jarmila Zimmermannová, P. Čermák, P. Novák

    20154 citations Open access

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19. Component based design of mini UAV

    P. Čermák, Jiri Martinu

    2015International Conference on Model Transformation4 citations

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20. An Attempt to Teaching Programming with Robots

    P. Čermák, J. Kelemen

    2011Eurobot Conference4 citations

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21. A Survey of Feature detection methods for localisation of plain sections of Axial Brain Magnetic Resonance Imaging

    Jiri Martinu, Jan Novotný, K. Adámek, P. Čermák +2 more

    2023Biomedical Signal Processing and Control3 citations Open access

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22. Computer analysis and evaluation of ultrasound B-images universally usable due to principle of B-MODE and its displaying in grayscale

    Jiri Blahuta, Tomás Soukup, P. Čermák, Michal Vecerek

    2015International Conference on Communications, Signal Processing, and their Applications3 citations

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23. An algorithm to echogenicity level identification on medical B-images and its applicability on FPGA platform

    Jiri Blahuta, P. Čermák, Tomás Soukup, Jiri Martinu +1 more

    2015International Conference on the Internet, Cyber Security and Information Systems3 citations

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24. A reproducible application to B-MODE transcranial ultrasound images based on echogenicity evaluation analysis in selectable area of interest

    Jiri Blahuta, P. Čermák, Michal Vecerek

    2014International Conference of Soft Computing and Pattern Recognition3 citations

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25. Genetic Optimization of Fuzzy Rule Based MAS Using Cognitive Analysis

    P. Čermák, M. Mura

    2012International Conference on Artificial Intelligence and Soft Computing3 citations

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26. Automatic ROI positioning in ultrasound TCS images using artificial intelligence to Parkinson's disease risk

    Jiri Blahuta, Tomás Soukup, P. Čermák, David Novak +1 more

    20123 citations

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27. The fuzzy-neuro development system FUZNET

    P. Čermák, M. Pokorný

    2013International Conference on Methods & Models in Automation & Robotics2 citations

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28. The ROI defect statistical analysis of substantia nigra to reproducibility of designed experimental algorithm for potential Parkinson's disease diagnosis

    Jiri Blahuta, Tomás Soukup, P. Čermák, David Novak

    20112 citations

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29. An investigation of key features of atherosclerotic plaques on B-images in comparison with histological patterns to ischemic stroke prediction

    Jiri Blahuta, Jakub Skacel, P. Čermák

    2017International Computer Engineering Conference1 citations

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30. Fuzzy - Based Method of Detecting the Enviroment Character for UAV Optical Stabilization

    David Novak, P. Čermák

    20151 citations Open access

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31. Analysis of customer lifetime value model: Literature review

    P. Čermák

    20131 citations Open access

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32. A nonlinear optimization and fuzzy modelling in predictive control scheme

    M. Pokorný, I. Rehberger, P. Čermák

    20002000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies1 citations

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33. The Concept of an Artificial Neural Network for the Classification of Atheromous Plaques from Digitized Segmented Histological Images

    Jiri Blahuta, P. Čermák, Jakub Skacel

    2018International Computer Engineering Conference0 citations

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34. Fuzzy Neural Networks on Embedded platforms

    P. Čermák, Jiri Martinu

    20170 citations

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35. Ultrasound B-MODE image processing as a MATLAB software tool and as an experimental solution on ARM platform

    Jiri Blahuta, Tomás Soukup, P. Čermák

    2015EUROCON Conference0 citations

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36. A Non-linear Opmiz3tion and Fuzzy Modelling blPredictive Control Scheme

    P. Čermák, Czech Republic

    20000 citations

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