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MA-XRF datasets analysis based on convolutional neural network: A case study on religious panel paintings
16 references·0 citing·39 second hopsampled
MA-XRF datasets analysis based on convolutional neural network: A case study on religious panel paintings (2024)MA-XRF datasets analysis based on convolu…Revealing the Materials, Painting Techniques, and State of Preservation of a Heavily Altered Early 19th Century Greek Icon through MA-XRF (2023)Revealing the Materials, Pain…Scanning X-ray Fluorescence Data Analysis for the Identification of Byzantine Icons’ Materials, Techniques, and State of Preservation: A Case Study (2022)Scanning X-ray Fluorescence D…Neural network-based classification of X-ray fluorescence spectra of artists’ pigments: an approach leveraging a synthetic dataset created using the fundamental parameters method (2022)Neural network-based classifi…Can deep learning assist automatic identification of layered pigments from XRF data? 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A Review on Physicochemical Studies of Greek Icons (2010)Material Aspects of Icons. 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References

  • 1988Thirteen Ways to Look at the Correlation Coefficient4,088 cited
  • 2013A mobile instrument for in situ scanning macro-XRF investigation of historical paintings269 cited
  • 2015Strategies for processing mega-pixel X-ray fluorescence hyperspectral data: a case study on a version of Caravaggio's painting Supper at Emmaus184 cited
  • 2017Real-time elemental imaging of large dimension paintings with a novel mobile macro X-ray fluorescence (MA-XRF) scanning technique134 cited
  • 2013Mobile depth profiling and sub-surface imaging techniques for historical paintings—A review120 cited
  • 2020An alternative approach to mapping pigments in paintings with hyperspectral reflectance image cubes using artificial intelligence76 cited
  • 2017On the Metal‐Leaf Decorations of Post‐Byzantine Greek Icons36 cited
  • 2019Artificial intelligence for art investigation: Meeting the challenge of separating x-ray images of the Ghent Altarpiece36 cited
  • 2022Neural network-based classification of X-ray fluorescence spectra of artists’ pigments: an approach leveraging a synthetic dataset created using the fundamental parameters method35 cited
  • 2020Development of a highly mobile and versatile large MA‐XRF scanner for in situ analyses of painted work of arts28 cited
  • 2010Material Aspects of Icons. A Review on Physicochemical Studies of Greek Icons27 cited
  • 2022Scanning X-ray Fluorescence Data Analysis for the Identification of Byzantine Icons’ Materials, Techniques, and State of Preservation: A Case Study21 cited

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2022
Can deep learning assist automatic identification of layered pigments from XRF data?
20 cited
  • 2021Illuminated manuscript analysis methodology using MA-XRF and NMF: Application on the Liber Feudorum Maior19 cited
  • 2023Revealing the Materials, Painting Techniques, and State of Preservation of a Heavily Altered Early 19th Century Greek Icon through MA-XRF14 cited
  • 2021More than XRF Mapping: STEAM (Statistically Tailored Elemental Angle Mapper) a Pioneering Analysis Protocol for Pigment Studies12 cited
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