Publications

  • Refereed
    ROOSTER: a machine-learning analysis tool for Kepler stellar rotation periods

    In order to understand stellar evolution, it is crucial to efficiently determine stellar surface rotation periods. Indeed, while they are of great importance in stellar models, angular momentum transport processes inside stars are still poorly understood today. Surface rotation, which is linked to the age of the star, is one of the constraints

    Breton, S. N. et al.

    Advertised on:

    3
    2021
    Bibcode
    2021A&A...647A.125B
  • Performance assessment of low-cost thermal cameras for medical applications

    Thermal imaging is a promising technology in the medical field. Recent developments in low-cost infrared (IR) sensors, compatible with smartphones, provide competitive advantages for home-monitoring applications. However, these sensors present reduced capabilities compared to more expensive high-end devices. In this work, the characterization of

    E. Villa et al.

    Advertised on:

    2
    2020
  • Wideband Epidermal Antenna for Medical Radiometry

    Microwave thermometry is a noninvasive and passive technique for measuring internal body temperature. Wearable compact antennas, matched to the specific body area, are required for this method. We present a new epidermal wideband antenna for medical radiometry. The double asymmetric H-shaped slot antenna was designed to be matched to different

    G. León et al.

    Advertised on:

    4
    2020
  • Polyvinyl alcohol cryogel phantoms of biological tissues for wideband operation at microwave frequencies

    The aim of this work is to provide a methodology to model the dielectric properties of human tissues based on phantoms prepared with an aqueous solution, in a semi-solid form, by using off-the-shelf components. Polyvinyl alcohol cryogel (PVA-C) has been employed as a novel gelling agent in the fabrication of phantoms for microwave applications in a

    N. Arteaga-Marrero et al.

    Advertised on:

    7
    2019
  • Automatic segmentation based in Deep Learning techniques for diabetic foot monitoring through multimodal images

    Temperature data acquired by infrared sensors provide relevant information to assess different medical pathologies in early stages, when the symptoms of the diseases are not visible yet to the naked eye. Currently, a clinical system that exploits the use of multimodal images (visible, depth and thermal infrared) is being developed for diabetic foot

    A. Hernández et al.

    Advertised on:

    9
    2019
  • Custom-made phantoms for thoracic ultrasound diagnostic and therapeutic applications in clinical practice

    Introduction and Aim: Ultrasound (US) provides valuable information in pathologies related to the lung parenchyma that are in direct contact with the pleura.The aim of this work was to design custom-made low-cost phantoms, whose characteristics mimic the lung parenchyma, to aid professionals in thoracic US imaging. Such phantoms would allow them to

    A.B. Llanos et al.

    Advertised on:

    10
    2020