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Arthur Gestels

University of Antwerp - AXIS research group

Antwerp, B-2020

Belgium

SCHOLARLY PAPERS

3

DOWNLOADS

229

TOTAL CITATIONS

1

Scholarly Papers (3)

1.

Combined MA-XRF and SEM-EDX Analysis of a Medieval Stained-Glass Panel Formerly from Notre Dame, Paris Reveals its Material History

Number of pages: 12 Posted: 11 Nov 2021
University of Antwerp - AXIS research group, University of Antwerp - AXIS research group, University of Antwerp - ARCHES research group, University of Antwerp - AXIS research group, University of Antwerp - AXIS research group, University of Antwerp - AXIS research group, University of Antwerp - ARCHES research group, University of Antwerp - AXIS research group and University of Antwerp - InViLab research group
Downloads 179 (424,491)
Citation 1

Abstract:

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Stained-glass, Chemical imaging, MA-XRF, SEM-EDX, MA-XRD, Glass composition

2.

Prediction of Quantitative Ma-Xrpd Distributions from Works of Art Using Data from Other Hyperspectral Methods

Number of pages: 19 Posted: 31 May 2024
University of Antwerp - AXIS research group, Rijksmuseum Amsterdam, University of Antwerp - AXIS research group, University of Antwerp - InViLab research group, University of Antwerp, affiliation not provided to SSRN, affiliation not provided to SSRN, National Gallery of Art and University of Antwerp - AXIS research group
Downloads 26 (1,372,601)

Abstract:

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X-ray Diffraction, X-ray fluorescence, Reflectance imaging spectroscopy, Machine learning, random forest, cultural heritage

3.

High-Resolution Compound-Specific Mapping in Works of Art Via Data Fusion of Ma-Xrpd with Hyperspectral Data (Part 2: Case Studies)

Number of pages: 25 Posted: 26 May 2025
University of Antwerp - AXIS research group, University of Antwerp - AXIS research group, Rijksmuseum Amsterdam, University of Antwerp, Rijksmuseum Amsterdam, National Gallery of Art, University of Antwerp - AXIS research group and University of Antwerp - InViLab research group
Downloads 24 (1,399,036)

Abstract:

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X-ray diffraction, X-Ray Fluorescence, Reflectance imaging spectroscopy, MachineLearning, Cultural Heritage, Data fusion