Zobrazeno 1 - 4 of 4 pro vyhledávání: '"H. E. Hulst"'
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Akademický článek
Neuroprotective effects of exercise in people with progressive multiple sclerosis (Exercise PRO-MS): study protocol of a phase II trial
Autor: A. S. Gravesteijn, H. Beckerman, B. A. de Jong, H. E. Hulst, V. de Groot
Publikováno v: BMC Neurology, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background Neurodegeneration, rather than inflammation, plays a key role in the progressive phase of multiple sclerosis (MS). Current disease modifying treatment options for people with progressive MS (PMS) do not specifically target neurode
Externí odkaz: https://doaj.org/article/39e37dc6340b4b398636d070b1c666ce
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2
Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction
Autor: D Karkalousos, S Noteboom, H E Hulst, F M Vos, M W A Caan
Publikováno v: Physics in Medicine and Biology, 67(12):124001. IOP Publishing
Physics in Medicine and Biology, 67(12):124001. IOP Publishing Ltd.
Physics in Medicine and Biology, 67(12)
Karkalousos, D, Noteboom, S, Hulst, H E, Vos, F M & Caan, M W A 2022, ' Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction ', Physics in Medicine and Biology, vol. 67, no. 12, 124001 . https://doi.org/10.1088/1361-6560/ac6cc2
Physics in medicine and biology, 67(12):124001. IOP Publishing Ltd.
Objective. Machine Learning methods can learn how to reconstruct magnetic resonance images (MRI) and thereby accelerate acquisition, which is of paramount importance to the clinical workflow. Physics-informed networks incorporate the forward model of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::315a390b9bd61d482efda8625283760e
https://doi.org/10.1088/1361-6560/ac6cc2
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