Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Van Nieuwenhove, Vincent"'
Restoring high-quality CT images from low dose CT counterparts is an ill-posed, nonlinear problem to which Deep Learning approaches have been giving superior solutions compared to classical model-based approaches. In this article, a framework is pres
Externí odkaz:
http://arxiv.org/abs/1910.06565
Low Dose Computed Tomography suffers from a high amount of noise and/or undersampling artefacts in the reconstructed image. In the current article, a Deep Learning technique is exploited as a regularization term for the iterative reconstruction metho
Externí odkaz:
http://arxiv.org/abs/1906.00650
This is an article about the Computed Tomography (CT) and how Deep Learning influences CT reconstruction pipeline, especially in low dose scenarios.
Externí odkaz:
http://arxiv.org/abs/1904.03908
Autor:
Wellekens, Shauni, Buls, Nico, De Mey, Johan, Van Nieuwenhove, Vincent, Cant, Jeroen, Jonckheer, Joop
Publikováno v:
Acute & Critical Care; May2024, Vol. 39 Issue 2, p323-326, 4p
Publikováno v:
Proceedings of the 16th Virtual International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, 19-23 July, 2021, Leuven, Belgium
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2097::62cd4007747bda651221f4a00376ed84
https://hdl.handle.net/10067/1821110151162165141
https://hdl.handle.net/10067/1821110151162165141
Autor:
Cercignani, Mara, Hahn, Bernadette, Kolehmainen, Ville, Bracconi, Mauro, Carminati, Chiara, Cuenca, Estefania, den Dekker, Arjan, Feschet, Fabien, Fiorini, Rodolfo A., Gerard, Yan, El Hadji, Sara, Hajdu, Lajos, Kuske, Jan, Nikitin, Viktor, Ratti, Luca, Tarsissi, Lama, Van Nieuwenhove, Vincent, Vigano, Nicola, Vuillon, Laurent
Publikováno v:
Fundamenta informaticae
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2097::a12c60ccd199c10903175c67c275d413
https://hdl.handle.net/10067/1586960151162165141
https://hdl.handle.net/10067/1586960151162165141
Publikováno v:
Progress in Artificial Intelligence (2192-6352); Mar2021, Vol. 10 Issue 1, p65-81, 17p
Autor:
Van Nieuwenhove, Vincent, De Beenhouwer, Jan, Vlassenbroeck, Jelle, Moesen, Maarten, Brennan, Mark, Sijbers, Jan
Publikováno v:
Online e-journal of nondestructive testing
The goal of 4D computed tomography (4D CT) is to study the temporal behavior of a 3D sample with a sufficiently high temporal and spatial resolution. Conventionally, the sample is sequentially scanned, resulting in datasets of successive time frames.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2097::5b807b7cc66886f8a90aa21f1a47ec9c
https://repository.uantwerpen.be/docman/irua/569c09/145808.pdf
https://repository.uantwerpen.be/docman/irua/569c09/145808.pdf
Publikováno v:
6th International Conference on Optical Measurement Techniques for, Structures and Systems III (OPTIMESS2015), APR 08-09, 2015, Univ Antwerp, Univ Antwerp, Antwerp, BELGIUM
OPTICAL MEASUREMENT TECHNIQUES FOR STRUCTURES & SYSTEMS III
OPTICAL MEASUREMENT TECHNIQUES FOR STRUCTURES & SYSTEMS III
In computed tomography (CT), X-ray projections are acquired from different angles, which are then used to reconstruct a 3D image. Prior to reconstruction, the projections have to be normalised with respect to a white field, which is generally referre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2097::29407420c577253a3b430c80d534f743
https://hdl.handle.net/10067/1332950151162165141
https://hdl.handle.net/10067/1332950151162165141