Výpis publikací

BLAHUTA, Jiří, Kamil MATULA a Petr SOSÍK. Program pro Gymnázium Třinec. In Zažij dopoledne na Ústavu informatiky, pro střední školy. Opava: Filozoficko-přírodovědecká fakulta v Opavě, Ústav informatiky, 2024.

BLAHUTA, Jiří a Kamil MATULA. Informatika v medicíně - pomáháme diagnostikovat Parkinsonovu a Alzheimerovu chorobu. In Věda.fpf: děláme vědu. Opava: Filozoficko-přírodovědecká fakulta v Opavě, Slezská univerzita, 2023.

BLAHUTA, Jiří, Tomáš SOUKUP, Jan LAVRINČÍK, Lukáš PAVLÍK a Zuzana REPASKÁ. Measurable Difference Between Malignant and Benign Tumor of the Thyroid Gland Recognizable Using Echogenicity Index in Ultrasound B-MODE Imaging: An Experimental Blind Study. Online. In Rojas, I.; Valenzuela, O.; Rojas, F.; Herrera, L. J.; Ortuno, F. 9th International Work-Conference, IWBBIO 2022. 13346 LNBI. Berlin: Springer-Verlag Berlin, 2022, s. 283-296. ISBN 978-3-031-07704-3. Dostupné z: https://dx.doi.org/10.1007/978-3-031-07704-3_23.

BLAHUTA, Jiří, Tomáš SOUKUP, Jan LAVRINČÍK, Lukáš PAVLÍK a Jiří KOZEL. Measuring and Evaluation of the Echogenicity Grade of Substantia Nigra in MRI Sequences vs B-Mode Ultrasound Imaging Using the Same Algorithm: Pilot Comparison Study. Online. In TROFYMCHUK, O. a RIVZA B. Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022. 22. vyd. Sofia, Bulharsko: STEF92 Technology, 2022, s. 59-66. ISSN 1314-2704. Dostupné z: https://dx.doi.org/10.5593/sgem2022/2.1/s07.08.

BLAHUTA, Jiří a Tomáš SOUKUP. Brightness levels in MRI should correspond with echogenicity grade in ultrasound B-MODE images: A pilot study of reproducibility using ROI-based measurement between two blind observers. Online. In Brejová, Broňa; Ciencialová, Lucie; Holeňa, Martin; Mráz, František; Prdubská, Dana; Plátek, Martin; Vinař, Tomáš. Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). Volume 2962. Slovensko: CEUR Workshop Proceedings, 2021, s. 182-187. ISSN 1613-0073.

BLAHUTA, Jiří, Tomáš SOUKUP a Petr SOSÍK. Approach to automatic segmentation of atherosclerotic plaque in B-images using active contour algorithm adapted by convolutional neural network to echogenicity index computation. Online. In Holeňa, Martin; Horváth, Tomáš; Kelemenová, Alica; Mráz, František; Pardubská, Dana; Plátek, Martin; Sosík, Petr. Proceedings of the 20th Conference Information Technologies - Applications and Theory (ITAT 2020). 2718. vyd. Slovensko: CEUR Workshop Proceedings, 2020, s. 223-229. ISSN 1613-0073.

ŠKOLOUDÍK, David, Jana MAŠKOVÁ, Petr DUŠEK, Jiří BLAHUTA, Tomáš SOUKUP, Andrea BURGETOVÁ a Petra BÁRTOVÁ. Digitized Image Analysis of Insula Echogenicity Detected by TCS-MR Fusion Imaging in Wilson's and Early-Onset Parkinson's Diseases. Ultrasound in Medicine and Biology. New York: Elsevier Science, 2020, roč. 46, č. 3, s. 842-848. ISSN 0301-5629. Dostupné z: https://dx.doi.org/10.1016/j.ultrasmedbio.2019.12.013.

BLAHUTA, Jiří, Tomáš SOUKUP a Lukáš PAVLÍK. The Black-White Pixels Ratio in Medial Temporal Lobe Brain Structure in Transcranial B-Images as a Measurable Marker of Alzheimer's Disease Probability: The Reproducibility Overview. Online. In Begusic, D.; Rozic, N.; Radic, J.; Saric, M. 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). Croatia: Institute of Electrical and Electronics Engineers Inc., 2020, s. 1-6. ISBN 978-1-7281-7538-6. Dostupné z: https://dx.doi.org/10.23919/SoftCOM50211.2020.9238214.

BLAHUTA, Jiří a Tomáš SOUKUP. The Reproducibility Assessment of Black-White Pixels Ratio in Transcranial B-images of Medial Temporal Lobe in Application for Detectable Feature of Alzheimer's Disease. Online. In Markova V., Ganchev T. Proceedings of the International Conference on Biomedical Innovations and Applications, BIA 2020. Varna, Bulgaria: Institute of Electrical and Electronics Engineers Inc., 2020, s. 53-57. ISBN 978-1-7281-7074-9. Dostupné z: https://dx.doi.org/10.1109/BIA50171.2020.9244520.

ŠKOLOUDÍK, David, Petra KRULOVÁ, Helena KISVETROVÁ, Roman HERZIG, Jiří BLAHUTA a Tomáš SOUKUP. Transkraniální sonografie mediotemporálního laloku u pacientů s Alzheimerovou demencí. Česká a slovenská neurologie a neurochirurgie. Praha: Česká zdravotnická asociace J.E. Purkyně, 2020, roč. 83, č. 2, s. 189-193. ISSN 1210-7859. Dostupné z: https://dx.doi.org/10.14735/amcsnn2020189.

BLAHUTA, Jiří, Jakub SKÁCEL a Tomáš SOUKUP. Online medical information system to create a decision-making expert system for risk assessment of atherosclerotic plaques from b-images and histological patterns. In International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 19. vyd. Sofia: International Multidisciplinary Scientific Geoconference, 2019, s. 501-508. ISBN 978-619-7408-79-9.

BLAHUTA, Jiří a Tomáš SOUKUP. The Information System for the Research in Carotid Atherosclerosis. Online. In Communications in Computer and Information Science. 1054. vyd. Cham: Springer Nature, 2019, s. 150-161. ISBN 978-3-030-27354-5. Dostupné z: https://dx.doi.org/10.1007/978-3-030-27355-2_12.

BLAHUTA, Jiří, Tomáš SOUKUP a Jakub SKÁCEL. Pilot design of a rule-based system and an artificial neural network to risk evaluation of atherosclerotic plaques in long-range clinical research. Online. In Manolopoulos, Y., Hammer, B., Maglogiannis I., Kurkova V., Iliadis, L. Artificial Neural Networks and Machine Learning – ICANN 2018. ICANN 2018. Lecture Notes in Computer Science. 11140. vyd. Cham: Springer Verlag, 2018, s. 90-100. ISBN 978-3-030-01421-6. Dostupné z: https://dx.doi.org/10.1007/978-3-030-01421-6_9.

BLAHUTA, Jiří. Registry of mechanical recanalizations: An online information system used in cerebrovascular stroke centers in the Czech Republic. Online. In 18th International Multidisciplinary Scientific GeoConference SGEM 2018. 18. vyd. Sofia: International Multidisciplinary Scientific Geoconference, 2018, s. 657-664. ISBN 978-619-7408-39-3. Dostupné z: https://dx.doi.org/10.5593/sgem2018/2.1/S07.084.

BLAHUTA, Jiří, Petr ČERMÁK a Jakub SKÁCEL. The concept of an artificial neural network for the classification of atheromous plaques from digitized segmented histological images. Online. In ICENCO 2018 - 14th International Computer Engineering Conference: Secure Smart Societies. New York: IEEE, 2018, s. 22-25. ISBN 978-1-5386-5117-9. Dostupné z: https://dx.doi.org/10.1109/ICENCO.2018.8636116.

BLAHUTA, Jiří, Jakub SKÁCEL a Tomáš SOUKUP. A PHP-based application to randomization of patients into groups for conventional and a new method of treatment. In International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. Volume 17. Sofia: International Multidisciplinary Scientific Geoconference, 2017, s. 29-36. ISBN 978-619-7408-01-0. Dostupné z: https://dx.doi.org/10.5593/sgem2017/21/S07.005.

BLAHUTA, Jiří, Tomáš SOUKUP a Jiří MARTINŮ. An expert system based on using artificial neural network and region-based image processing to recognition substantia nigra and atherosclerotic plaques in b-images: A prospective study. Online. In ROJAS, Ignacio; JOYA, Gonzalo; CATALA, Andreu. Lecture Notes in Computer Science. Volume 10305. Cham: Springer Verlag, 2017, s. 236-245. ISBN 978-3-319-59152-0. Dostupné z: https://dx.doi.org/10.1007/978-3-319-59153-7_21.

BLAHUTA, Jiří, Jakub SKÁCEL a Petr ČERMÁK. An investigation of key features of atherosclerotic plaques on B-images in comparison with histological patterns to ischemic stroke prediction. Online. In 2017 13TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO). New York: IEEE, 2017, s. 73-78. ISBN 978-1-5386-4266-5. Dostupné z: https://dx.doi.org/10.1109/ICENCO.2017.8289766.

SKÁCEL, Jakub, Jiří BLAHUTA a Jiří MARTINŮ. The detection of atherosclerotic plaques in B-images. GRANT journal. Hradec Králové: MAGNANIMITAS Assn., 2016, roč. 5, č. 2, s. 90-95. ISSN 1805-062X.

BLAHUTA, Jiří, David ŠKOLOUDÍK, Petra BÁRTOVÁ, Jana MAŠKOVÁ, Petr DUŠEK, Kateŕina LANGOVÁ, Uwe WALTER a Roman HERZIG. Transcranial Sonography of the Insula: Digitized Image Analysis of Fusion Images with Magnetic Resonance. Ultraschall in der Medizin. Stuttgart, Germany: Georg Thieme Verlag KG, 2016, roč. 37, č. 6, s. 604-608. ISSN 0172-4614. Dostupné z: https://dx.doi.org/10.1055/s-0042-111822.