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Juan Ruiz De Miras

Biographic Data

ID207415
NAMEJuan Ruiz De Miras
GIVEN NAMESJuan Ruiz
FAMILY NAMEDe Miras
SIGNATUREDE MIRAS J R
AFFILIATIONSUniversidad de Granada
ORCID0000-0001-7579-8350
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Semantic-driven assisted selection of measurement points for non-invasive analysis of artworks

    Open Access•Domingo Martins, María Rosario Blanc et al.•ARTICLE•Journal of Cultural Heritage•2026

  • Semantic-augmented analysis of spectral data of artworks

    Open Access•Domingo Martins, María Rosario Blanc et al.•ARTICLE•Journal of Cultural Heritage•2026

    Interpreting that data from artworks is traditionally a laborious manual process. • A novel workflow based on the semantic segmentation of images is introduced. • Assigning labels transforms spatial segments into meaningful categories for the expert. • Tools augmented with semantic segmentation facilitate the interpretation of the data. • The programs are free and open source

  • XMapsLab

    Open Access•Domingo Martins, Germán Arroyo et al.•ARTICLE•Journal of Cultural Heritage•2025

    Maps obtained from scanned data are very important. • XRF devices give sparse data, needing interpolation. • GPU version runs up to 100x faster than usual. • Speed enables new studies and hypotheses testing. • Free, open-source tool supports analysis operations. The creation of maps through the application of techniques such as X-Ray Fluorescence (XRF), X-Ray Diffraction (XRD), Raman spectroscopy, multispectral analysis, ultraviolet (UV), and inf…

  • Evaluation of interpolation methods for generating maps in cultural heritage chemical applications

    Open Access•Domingo Martins, Germán Arroyo et al.•ARTICLE•Journal of Cultural Heritage•2023•References: 37

    The different non-invasive techniques that have been developed for the study of works of art in Cultural Heritage have become an indispensable tool for researchers and practitioners. In particular, the creation of images showing the spatial distribution of chemical elements and pigments, called maps, helps give a better understanding of the artwork. While high-cost devices can measure the artwork at many positions with high resolution, the cheape…

No prominent works on this page.

  • Evaluation of interpolation methods for generating maps in cultural heritage chemical applications

    Open Access•Domingo Martins, Germán Arroyo et al.•ARTICLE•Journal of Cultural Heritage•2023•References: 37

    The different non-invasive techniques that have been developed for the study of works of art in Cultural Heritage have become an indispensable tool for researchers and practitioners. In particular, the creation of images showing the spatial distribution of chemical elements and pigments, called maps, helps give a better understanding of the artwork. While high-cost devices can measure the artwork at many positions with high resolution, the cheape…

  • XMapsLab

    Open Access•Domingo Martins, Germán Arroyo et al.•ARTICLE•Journal of Cultural Heritage•2025

    Maps obtained from scanned data are very important. • XRF devices give sparse data, needing interpolation. • GPU version runs up to 100x faster than usual. • Speed enables new studies and hypotheses testing. • Free, open-source tool supports analysis operations. The creation of maps through the application of techniques such as X-Ray Fluorescence (XRF), X-Ray Diffraction (XRD), Raman spectroscopy, multispectral analysis, ultraviolet (UV), and inf…

  • Semantic-driven assisted selection of measurement points for non-invasive analysis of artworks

    Open Access•Domingo Martins, María Rosario Blanc et al.•ARTICLE•Journal of Cultural Heritage•2026

  • Semantic-augmented analysis of spectral data of artworks

    Open Access•Domingo Martins, María Rosario Blanc et al.•ARTICLE•Journal of Cultural Heritage•2026

    Interpreting that data from artworks is traditionally a laborious manual process. • A novel workflow based on the semantic segmentation of images is introduced. • Assigning labels transforms spatial segments into meaningful categories for the expert. • Tools augmented with semantic segmentation facilitate the interpretation of the data. • The programs are free and open source

3D Surveying and Cultural Heritage (2 works) · Aesthetic Perception and Analysis (2 works) · Archaeology (2 works) · Conservation Techniques and Studies (2 works) · Cultural heritage (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Archaeological Research and Protection (1 works) · Architectural engineering (1 works) · Artificial Intelligence (1 works) · Bilinear interpolation (1 works)

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