Convolutional Neural Networks for Direct Inference of Pharmacokinetic Parameters : Application to Stroke Dynamic Contrast-Enhanced MRI

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08/01/2019
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Ulas , C , Das , D , Thrippleton , M J , Valdes Hernandez , M D C , Armitage , P A , Makin , S D , Wardlaw , J M & Menze , B H 2019 , ' Convolutional Neural Networks for Direct Inference of Pharmacokinetic Parameters : Application to Stroke Dynamic Contrast-Enhanced MRI ' , Frontiers in Neurology , vol. 9 , 1147 . https://doi.org/10.3389/fneur.2018.01147
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http://hdl.handle.net/2164/12854
http://www.scopus.com/inward/record.url?scp=85065397393&partnerID=8YFLogxK
http://www.mendeley.com/research/parameters-application-stroke-dynamic-contrastenhanced-mri
https://www.ncbi.nlm.nih.gov/pubmed/30671015
DOI
https://doi.org/10.3389/fneur.2018.01147
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Copyright © 2019 Ulas, Das, Thrippleton, Valdés Hernández, Armitage, Makin, Wardlaw and Menze. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. https://creativecommons.org/licenses/by/4.0/
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