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000263632 0247_ $$2doi$$a10.5281/ZENODO.5831210
000263632 0247_ $$2doi$$a10.5281/zenodo.5831211
000263632 037__ $$aDZNE-2023-00850
000263632 1001_ $$0P:(DE-2719)9001684$$aDell Orco, Andrea$$b0$$udzne
000263632 245__ $$aSoftware: WMHpypes: Nipype based implementations of WMH segmentation pipelines (v1)
000263632 260__ $$aZenodo$$c2022
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000263632 520__ $$aNipype based implementation of WMH segmentation pipelines
000263632 536__ $$0G:(DE-HGF)POF4-353$$a353 - Clinical and Health Care Research (POF4-353)$$cPOF4-353$$fPOF IV$$x0
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000263632 7001_ $$0P:(DE-2719)2814314$$aGaubert, Malo$$b1$$udzne
000263632 773__ $$a10.5281/ZENODO.5831210
000263632 7870_ $$0DZNE-2023-00191$$aGaubert, Malo et.al.$$dLausanne : Frontiers Research Foundation, 2023$$iRelatedTo$$tPerformance evaluation of automated white matter hyperintensity segmentation algorithms in a multicenter cohort on cognitive impairment and dementia
000263632 8564_ $$uhttps://github.com/0rC0/WMHpypes
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000263632 9141_ $$y2022
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