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Herman Verinaz-Jadan

3 accepted papers

2023

Super-Resolution for Macro X-Ray Fluorescence Data Collected from Old Master Paintings

ICASSP 2023accepted

Macro X-ray fluorescence (MA-XRF) scanning is commonly used to non-invasively analyse Old Master paintings by mapping the distribution of the chemical elements present in the artworks. The visual quality of the element distribution maps is very important for characterising the materials and understa…

Cited by 0SourceScholar
2021

Model-Inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization

ICASSP 2021accepted

Light-field microscopes are able to capture spatial and angular information of incident light rays. This allows reconstructing 3D locations of neurons from a single snap-shot. In this work, we propose a model-inspired deep learning approach to perform fast and robust 3D localization of sources using…

Cited by 0SourceScholar
2020

Volume Reconstruction for Light Field Microscopy

ICASSP 2020accepted

Light Field Microscopy (LFM) is a 3D imaging technique that captures volumetric information in a single snapshot. It is appealing in microscopy because of its simple implementation and the peculiarity that it is much faster than methods involving scanning. However, volume reconstruction for LFM suff…

Cited by 0SourceScholar