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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

P. Monnin

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3 papers indexed here

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Open access Oct 2026

Assessment of image quality and detectability in computed tomography: Inter‐laboratory comparison of Fourier‐based metrics

Abstract Background The task‐based assessment of image quality in computed tomography (CT) is increasingly used for benchmarking, optimizing acquisition and reconstruction parameters, and predicting observers’ performance. To achieve consistent and reproducible results rely on standardized methodologies and guidelines....

P. Monnin, D. Racine, Luis Ammour et al. · 0 citations
Open access Sep 2026

Evaluation of deep-learning iterative reconstruction combined with high-frequency kernels in CT: a task-based image quality study

DLIR combined with high-frequency kernels reduced image noise while preserving spatial resolution and FBP-like noise texture, outperforming IR in detectability for most lesion sizes, concentrations, and dose levels.

A. Viry, P. Monnin, C. Pozzessere et al. · 0 citations
#edge computing Open access Aug 2026

Task‐based evaluation of axial and multiplanar reconstructions in computed tomography: A volumetric analysis of spatial resolution, noise, and detectability

MPR image quality is typically inferior to axial images and deteriorates further when derived from thicker axial slices, therefore, appropriate selection of the reconstruction kernel, pixel size and slice thickness are essential to maintain diagnostic image quality.

P. Monnin, A. Viry, F. Becce et al. · 0 citations

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