Publikační výsledky

• 2025

  KOLÁŘ, R.; VIČAR, T.; CHMELÍK, J.; JAKUBÍČEK, R.; ODSTRČILÍK, J.; NOHEL, M.; SKORKOVSKÁ, K.; TORNOW, R. Compact Monocular Video-Ophthalmoscope to Measure Retinal Reflectance Changes to Flicker Light Stimuli. Journal of Biophotonics, 2025, vol. 18, no. 6, 10 p. ISSN: 1864-0648.
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  NOHEL, M.; ULRICH, C.; SUPRIJADI, J.; WALD, T.; MAIER-HEIN, K. Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data. In Bildverarbeitung für die Medizin 2025. Informatik aktuell. Wiesbaden: Springer Vieweg, 2025. p. 242-247. ISBN: 978-3-658-47421-8.
  Detail

• 2024

  SCHWARZEROVÁ, J.; NOHEL, M.; SITKOVA, R.; SKARDA, J.; CHMELÍK, J.; PROVAZNÍK, V.; WECKWERTH, W. Unlocking Genetic Prognostication: Cage App – Computer-Aided Approach for Genomics Prediction. Kladno, Czech Republik: 2024. 1 p.
  Detail

  NOHEL, M.; CHMELÍK, J. Calculation of Bone Mineral Density from Dual-energy CT and its Application on Patient with Multiple Myeloma. In Proceedings II of the 30st Conference STUDENT EEICT 2024: Selected papers. Proceedings II of the Conference STUDENT EEICT. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2024. p. 129-133. ISBN: 978-80-214-6230-4. ISSN: 2788-1334.
  Detail

  NOHEL, M.; MÉZL, M.; VÁLEK, V.; DOSTÁL, M.; CHMELÍK, J. Method Comparison for Bone Density in Multiple Myeloma Patients. Lékař a technika, 2024, vol. 54, no. 3, p. 94-100. ISSN: 0301-5491.
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  ČURILLOVÁ, M.; NOHEL, M. Deep learning model for segmentation of trabecular tissue on CT data of the lumbar spine. In Proceedings II of the 30st Conference STUDENT EEICT 2024: Selected papers. Proceedings II of the Conference STUDENT EEICT. 1. Brno, Czech Republic: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2024. p. 8-11. ISBN: 978-80-214-6230-4. ISSN: 2788-1334.
  Detail

  GÁLÍK, P.; NOHEL, M. Implementation of a deep learning model for segmentation of multiple myeloma in CT data. In Proceedings I of the 30st Conference STUDENT EEICT 2024: General papers. 1. Brno, Czech Republic: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2024. p. 105-108. ISBN: 978-80-214-6231-1.
  Detail

  NOHEL, M.; JAKUBÍČEK, R.; BLAŽKOVÁ, L.; VÁLEK, V.; DOSTÁL, M.; OUŘEDNÍČEK, P.; CHMELÍK, J. Comparison of spine segmentation algorithms on clinical data from spectral CT of patients with multiple myeloma. In MEDICON'23 & CMBEBIH'23. IFMBE Proceedings. 93. Cham: Springer Nature Switzerland, 2024. p. 309-317. ISBN: 978-3-031-49061-3. ISSN: 1680-0737.
  Detail

• 2023

  BLAŽKOVÁ, L.; NOHEL, M. Implementation of a deep learning model for vertebral segmentation in CT data. In Proceedings II of the 29th Conference STUDENT EEICT 2023 Selected papers. Proceedings II of the Conference STUDENT EEICT. 1. Brno, Czech Republic: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2023. p. 41-44. ISBN: 978-80-214-6154-3. ISSN: 2788-1334.
  Detail

  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 | Plný text v Digitální knihovně

  NOHEL, M.; KOLÁŘ, R. Segmentation of optic disc and cup in retinal images using of deep learning approaches. Proceedings I of the 29th Conference STUDENT EEICT 2023. 1st edition. Brno, Czech Republic: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2023. p. 265-269. ISBN: 978-80-214-6153-6.
  Detail

• 2022

  SCHWARZEROVÁ, J.; NEMČEKOVÁ, P.; PIERDIES, I.; NOHEL, M.; CHMELÍK, J.; SEDLÁŘ, K.; WECKWERTH, W. OMICs prediction for Hordeum vulgare using Random Forest methodology. The Biomania Student Scientific Meeting 2022, Book of abstract. 1st. Brno: Masaryk University Press, 2022. p. 52-52. ISBN: 978-80-280-0040-0.
  Detail

  NOHEL, M.; KOLÁŘ, R. Detection of optic disc in retinal fundus image. In Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. p. 239-242. ISBN: 978-80-214-6029-4.
  Detail

  NOHEL, M.; JAN, J.; CHMELÍK, J. Characterization of osteolytic lesions by low-dose spectral CT in myeloma patients. In Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers. 1. Brno, Česká Republika: Brno University of Technology, 2022. p. 442-446. ISBN: 978-80-214-6029-4.
  Detail

• 2021

  NOHEL, M. Methodology of time-development analysis of vertebral tumors in CT data. In Proceedings II of the 27th Conference STUDENT EEICT 2021 Selected papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2021. p. 49-52. ISBN: 978-80-214-5943-4.
  Detail

  NOHEL, M.; JAKUBÍČEK, R. Analýza časového vývoje léčených nádorů páteře. Trendy v biomedicínském inžinýrství 2021. Liberec, Česká Republika: Technická univerzita v Liberci, 2021. s. 154-159. ISBN: 978-80-7494-586-1.
  Detail

• 2020

  REPČÍK, T.; POLÁKOVÁ, V.; WALOSZEK, V.; NOHEL, M.; SMITAL, L.; VÍTEK, M.; KOLÁŘ, R. Biometric Authentication Using the Unique Characteristics of the ECG Signal. In Computing in Cardiology 2020. Computing in Cardiology. Rimini, Italy: IEEE, 2020. no. 1, p. 1-4. ISSN: 2325-887X.
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