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

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      Ulas_etal_fneur_09_01147_VOR.pdf (3.659Mb)
      Publication date
      08/01/2019
      Author
      Ulas, Cagdas
      Das, Dhritiman
      Thrippleton, Michael J
      Valdes Hernandez, Maria del C.
      Armitage, Paul A
      Makin, Stephen D
      Wardlaw, Joanna M
      Menze, Bjoern H
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      Citation
      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
      URI
      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
      Rights
      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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