001     263632
005     20240724152536.0
024 7 _ |2 doi
|a 10.5281/ZENODO.5831210
024 7 _ |2 doi
|a 10.5281/zenodo.5831211
037 _ _ |a DZNE-2023-00850
100 1 _ |0 P:(DE-2719)9001684
|a Dell Orco, Andrea
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245 _ _ |a Software: WMHpypes: Nipype based implementations of WMH segmentation pipelines (v1)
260 _ _ |a Zenodo
|c 2022
336 7 _ |2 DCMI
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336 7 _ |2 ORCID
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336 7 _ |2 DataCite
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520 _ _ |a Nipype based implementation of WMH segmentation pipelines
536 _ _ |0 G:(DE-HGF)POF4-353
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588 _ _ |a Dataset connected to DataCite
700 1 _ |0 P:(DE-2719)2814314
|a Gaubert, Malo
|b 1
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773 _ _ |a 10.5281/ZENODO.5831210
787 0 _ |0 DZNE-2023-00191
|a Gaubert, Malo et.al.
|d Lausanne : Frontiers Research Foundation, 2023
|i RelatedTo
|t Performance evaluation of automated white matter hyperintensity segmentation algorithms in a multicenter cohort on cognitive impairment and dementia
856 4 _ |u https://github.com/0rC0/WMHpypes
909 C O |o oai:pub.dzne.de:263632
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914 1 _ |y 2022
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