Now showing items 1-3 of 3

  • Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis 

    Pořízka, Pavel; Klus, Jakub; Mašek, Jan; Rajnoha, Martin; Prochazka, David; Modlitbová, Pavlína; Novotný, Jan; Burget, Radim; Novotný, Karel; Kaiser, Jozef (Springer Nature, 2017-12-01)
    In this work, we proposed a new data acquisition approach that significantly improves the repetition rates of Laser-Induced Breakdown Spectroscopy (LIBS) experiments, where high-end echelle spectrometers and intensified ...
  • Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation 

    Kolařík, Martin; Burget, Radim; Uher, Václav; Říha, Kamil; Dutta, Malay Kishore (MDPI, 2019-02-15)
    The 3D image segmentation is the process of partitioning a digital 3D volumes into multiple segments. This paper presents a fully automatic method for high resolution 3D volumetric segmentation of medical image data using ...
  • Towards Robust Voice Pathology Detection 

    Harár, Pavol; Galáž, Zoltán; Alonso-Hernandez, Jesus; Mekyska, Jiří; Burget, Radim; Smékal, Zdeněk (Springer, 2019-01-02)
    Automatic objective non-invasive detection of pathological voice based on computerized analysis of acoustic signals can play an important role in early diagnosis, progression tracking and even effective treatment of ...