Zobrazeno 1 - 10
of 3 812
pro vyhledávání: '"Nederveen, A. J."'
Publikováno v:
J. Acoust. Soc. Am. 154, 463-466 (2023)
A formula for the local acoustical admittance in a conical waveguide with viscous and thermal losses given by Nederveen [(1969) Acoustical Aspects of Woodwind Instruments (Frits Knuf, Amsterdam)] is rewritten as an impedance transmission matrix. Base
Externí odkaz:
http://arxiv.org/abs/2303.12750
Autor:
Yousefi, Sahar, Sokooti, Hessam, Teeuwisse, Wouter M., Heijtel, Dennis F. R., Nederveen, Aart J., Staring, Marius, van Osch, Matthias J. P.
Positron Emission Tomography (PET) is an imaging method that can assess physiological function rather than structural disturbances by measuring cerebral perfusion or glucose consumption. However, this imaging technique relies on injection of radioact
Externí odkaz:
http://arxiv.org/abs/2103.05116
Autor:
A.C.M. Kappelhof
Publikováno v:
BMGN: Low Countries Historical Review, Vol 119, Iss 1 (2004)
Externí odkaz:
https://doaj.org/article/ce3f0aaf9db84c1c909c0135ec1c652e
Autor:
Kaandorp, Misha P. T., Barbieri, Sebastiano, Klaassen, Remy, van Laarhoven, Hanneke W. M., Crezee, Hans, While, Peter T., Nederveen, Aart J., Gurney-Champion, Oliver J.
${\bf Purpose}$: Earlier work showed that IVIM-NET$_{orig}$, an unsupervised physics-informed deep neural network, was more accurate than other state-of-the-art intravoxel-incoherent motion (IVIM) fitting approaches to DWI. This study presents an imp
Externí odkaz:
http://arxiv.org/abs/2011.01689
Autor:
Wijdeveld, Madelief, Schrantee, Anouk, Hagemeijer, Anouk, Nederveen, Aart J., Scheithauer, Torsten P.M., Levels, Johannes H.M., Prodan, Andrei, de Vos, Willem M., Nieuwdorp, Max, Ijzerman, Richard G.
Publikováno v:
In iScience 15 December 2023 26(12)
Akademický článek
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Compressed Sensing MRI With Variable Density Averaging (CS-VDA) Outperforms Full Sampling At Low SNR
Autor:
Schoormans, Jasper, Strijkers, Gustav J., Hansen, Anders C., Nederveen, Aart J., Coolen, Bram F.
Publikováno v:
Physics in Medicine & Biology 65.4 (2020): 045004
We investigated whether a combination of k-space undersampling and variable density averaging enhances image quality for low-SNR MRI acquisitions. We implemented 3D Cartesian k-space prospective undersampling with a variable number of averages for ea
Externí odkaz:
http://arxiv.org/abs/1909.01672
Akademický článek
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Autor:
Mast, Isa H., Baas, Koen P.A., Jørstad, Harald T., Wood, John C., Nederveen, Aart J., Bakermans, Adrianus J.
Publikováno v:
In NeuroImage 15 April 2022 250
Autor:
Sprengers, André M. J., Caan, Matthan W. A., Moerman, Kevin M., Nederveen, Aart J., Lamerichs, Rolf M. J. N., Stoker, Jaap
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine, April 2013, Volume 26, Issue 2, pp 229-238
Object This study proposes a scale space based algorithm for automated segmentation of single-shot tagged images of modest SNR. Furthermore the algorithm was designed for analysis of discontinuous or shearing types of motion, i.e. segmentation of bro
Externí odkaz:
http://arxiv.org/abs/1703.07403