Zobrazeno 1 - 10
of 51
pro vyhledávání: '"M. Weeda"'
Autor:
Merlin M. Weeda, Ilanah J. Pruis, Aimee S. R. Westerveld, Iman Brouwer, Barbara Bellenberg, Frederik Barkhof, Hugo Vrenken, Carsten Lukas, Ruth Schneider, Petra J. W. Pouwels
Publikováno v:
Frontiers in Neurology, Vol 11 (2020)
Background: In early multiple sclerosis (MS), thalamus atrophy and decreased integrity of the thalamocortical white matter (WM) tracts have been observed.Objective: To investigate the temporal association between thalamus volume and WM damage in the
Externí odkaz:
https://doaj.org/article/3943a441f9044e27b1f3bcbf858d9dbb
Publikováno v:
The Impact of Ash Deposition on Coal Fired Plants ISBN: 9780203736616
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50d1c4ffba008717bb56b67a6a6b1df5
https://doi.org/10.1201/9780203736616-34
https://doi.org/10.1201/9780203736616-34
Autor:
Ingrid Anne Lie, Merlin M. Weeda, Rozemarijn M. Mattiesing, Marijke A.E. Mol, Petra J.W. Pouwels, Frederik Barkhof, Øivind Torkildsen, Lars Bø, Kjell-Morten Myhr, Hugo Vrenken
Publikováno v:
Neurology. 98(15)
Background and ObjectivesThere is currently no consensus about the extent of gray matter (GM) atrophy that can be attributed to secondary changes after white matter (WM) lesions or the temporal and spatial relationships between the 2 phenomena. Eluci
Autor:
Merlin M. Weeda, Sofia Zywicki, Iman Brouwer, Bastiaan Moraal, Joep Killestein, Paolo Gallo, Frederik Barkhof, Petra J.W. Pouwels, Hugo Vrenken
Publikováno v:
Multiple Sclerosis and Related Disorders. 60:103713
Upper cervical cord atrophy and lesions have been shown to be associated with disease and disability progression already in early relapsing-remitting multiple sclerosis (RRMS). However, their longitudinal relationship remains unclear.To investigate t
Akademický článek
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Autor:
Frederik Barkhof, Hugo Vrenken, Martijn D. Steenwijk, M. M. Weeda, Iris Dekker, Carsten Lukas, Petra J. W. Pouwels, Joep Killestein, Bernard M. J. Uitdehaag, Barbara Bellenberg, H. Amiri, S.M. Middelkoop, I. Brouwer, M. Daams
Publikováno v:
NeuroImage : Clinical
NeuroImage: Clinical, Vol 24, Iss, Pp-(2019)
Weeda, M M, Middelkoop, S M, Steenwijk, M D, Daams, M, Amiri, H, Brouwer, I, Killestein, J, Uitdehaag, B M J, Dekker, I, Lukas, C, Bellenberg, B, Barkhof, F, Pouwels, P J W & Vrenken, H 2019, ' Validation of mean upper cervical cord area (MUCCA) measurement techniques in multiple sclerosis (MS) : High reproducibility and robustness to lesions, but large software and scanner effects ', NeuroImage: Clinical, vol. 24, 101962 . https://doi.org/10.1016/j.nicl.2019.101962, https://doi.org/10.1016/j.nicl.2019.101962
NeuroImage: Clinical, 24:101962. Elsevier BV
NeuroImage: Clinical, Vol 24, Iss, Pp-(2019)
Weeda, M M, Middelkoop, S M, Steenwijk, M D, Daams, M, Amiri, H, Brouwer, I, Killestein, J, Uitdehaag, B M J, Dekker, I, Lukas, C, Bellenberg, B, Barkhof, F, Pouwels, P J W & Vrenken, H 2019, ' Validation of mean upper cervical cord area (MUCCA) measurement techniques in multiple sclerosis (MS) : High reproducibility and robustness to lesions, but large software and scanner effects ', NeuroImage: Clinical, vol. 24, 101962 . https://doi.org/10.1016/j.nicl.2019.101962, https://doi.org/10.1016/j.nicl.2019.101962
NeuroImage: Clinical, 24:101962. Elsevier BV
Introduction Atrophy of the spinal cord is known to occur in multiple sclerosis (MS). The mean upper cervical cord area (MUCCA) can be used to measure this atrophy. Currently, several (semi-)automated methods for MUCCA measurement exist, but validati
Autor:
M.S. de Vries, Hugo Vrenken, Frederik Barkhof, M.L. de Vos, I. Brouwer, P.J.W. Pouwels, M. M. Weeda
Publikováno v:
NeuroImage: Clinical, 24:102074. Elsevier BV
NeuroImage: Clinical, Vol 24, Iss, Pp-(2019)
NeuroImage : Clinical
Weeda, M M, Brouwer, I, de Vos, M L, de Vries, M S, Barkhof, F, Pouwels, P J W & Vrenken, H 2019, ' Comparing lesion segmentation methods in multiple sclerosis: Input from one manually delineated subject is sufficient for accurate lesion segmentation ', NeuroImage: Clinical, vol. 24, 102074 . https://doi.org/10.1016/j.nicl.2019.102074
NeuroImage: Clinical, Vol 24, Iss, Pp-(2019)
NeuroImage : Clinical
Weeda, M M, Brouwer, I, de Vos, M L, de Vries, M S, Barkhof, F, Pouwels, P J W & Vrenken, H 2019, ' Comparing lesion segmentation methods in multiple sclerosis: Input from one manually delineated subject is sufficient for accurate lesion segmentation ', NeuroImage: Clinical, vol. 24, 102074 . https://doi.org/10.1016/j.nicl.2019.102074
Highlights • Lesion segmentation is an important tool in multiple sclerosis (MS) research. • Several automated methods exist, e.g., supervised, trained or deep learning-based. • Convolutional neural networks (CNN) show promising results for les
Akademický článek
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Autor:
Frederik Barkhof, Iris Dekker, Joep Killestein, Iman Brouwer, Houshang Amiri, Martijn D. Steenwijk, Merlin M. Weeda, Hugo Vrenken
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2861d9ee833f3c8095d2e30909cfe65d
https://doi.org/10.26226/morressier.5b719e455aff74008ae4ca26
https://doi.org/10.26226/morressier.5b719e455aff74008ae4ca26