A new approach to the interpretation of XRF spectral imaging data using neural networks

[1]  G. Valentini,et al.  Identification of pigments in different layers of illuminated manuscripts by X-ray fluorescence mapping and Raman spectroscopy , 2016 .

[2]  Emmanuel Brun,et al.  Revealing metallic ink in Herculaneum papyri , 2016, Proceedings of the National Academy of Sciences.

[3]  M. Leona,et al.  Unusual pigments found in a painting by Giotto (c. 1266-1337) reveal diversity of materials used by medieval artists , 2016, Heritage Science.

[4]  Teuvo Kohonen,et al.  Essentials of the self-organizing map , 2013, Neural Networks.

[5]  Matthias Alfeld,et al.  XRF and reflectance hyperspectral imaging on a 15th century illuminated manuscript: combining imaging and quantitative analysis to understand the artist’s technique , 2018, Heritage Science.

[6]  Eva Peccenini,et al.  Imaging study of Raffaello's “La Muta” by a portable XRF spectrometer , 2016 .

[7]  Paola Ricciardi,et al.  Macro X-ray fluorescence (MA-XRF) scanning of illuminated manuscript fragments: potentialities and challenges , 2016 .

[8]  Teuvo Kohonen,et al.  Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.

[9]  Paola Ricciardi,et al.  Visible and infrared imaging spectroscopy of paintings and improved reflectography , 2016, Heritage Science.

[10]  M. Martini,et al.  Discovering the material palette of the artist: a p‐XRF stratigraphic study of the Giotto panel ‘God the Father with Angels’ , 2017 .

[11]  V. A. Solé,et al.  A multiplatform code for the analysis of energy-dispersive X-ray fluorescence spectra , 2007 .

[12]  Koen Janssens,et al.  Optimization of mobile scanning macro-XRF systems for the in situ investigation of historical paintings , 2011 .

[13]  Francesca Rizzo,et al.  Real-time elemental imaging of large dimension paintings with a novel mobile macro X-ray fluorescence (MA-XRF) scanning technique , 2017 .

[14]  Ewa A. Kaszewska,et al.  The application of macro-X-ray fluorescence and optical coherence tomography for examination of parchment manuscripts , 2015 .

[15]  D. Blake,et al.  Full‐field XRF instrument for cultural heritage: Application to the study of a Caillebotte painting , 2019 .

[16]  Koen Janssens,et al.  A mobile instrument for in situ scanning macro-XRF investigation of historical paintings , 2013 .

[17]  Paola Ricciardi,et al.  Mapping of egg yolk and animal skin glue paint binders in Early Renaissance paintings using near infrared reflectance imaging spectroscopy. , 2013, The Analyst.

[18]  Koen Janssens,et al.  Revealing hidden paint layers in oil paintings by means of scanning macro-XRF: a mock-up study based on Rembrandt's “An old man in military costume” , 2013 .

[19]  Koen Janssens,et al.  Strategies for processing mega-pixel X-ray fluorescence hyperspectral data: a case study on a version of Caravaggio's painting Supper at Emmaus , 2015 .

[20]  Matthias Alfeld,et al.  Joint data treatment for Vis–NIR reflectance imaging spectroscopy and XRF imaging acquired in the Theban Necropolis in Egypt by data fusion and t-SNE , 2018, Comptes Rendus Physique.

[21]  John K Delaney,et al.  Complementary standoff chemical imaging to map and identify artist materials in an early Italian Renaissance panel painting. , 2014, Angewandte Chemie.

[22]  Lutgarde M. C. Buydens,et al.  Self- and Super-organizing Maps in R: The kohonen Package , 2007 .

[23]  Koen Janssens,et al.  Exploring a Hidden Painting Below the Surface of René Magritte’s Le Portrait , 2016, Applied spectroscopy.

[24]  Koen Janssens,et al.  Chemical imaging of stained-glass windows by means of macro X-ray fluorescence (MA-XRF) scanning , 2016 .