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Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients

PURPOSE: Earlier work showed that IVIM‐NET(orig), an unsupervised physics‐informed deep neural network, was faster and more accurate than other state‐of‐the‐art intravoxel‐incoherent motion (IVIM) fitting approaches to diffusion‐weighted imaging (DWI). This study presents a substantially improved ve...

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Detalles Bibliográficos
Autores principales:	Kaandorp, Misha P. T., Barbieri, Sebastiano, Klaassen, Remy, van Laarhoven, Hanneke W. M., Crezee, Hans, While, Peter T., Nederveen, Aart J., Gurney‐Champion, Oliver J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Research Articles—Computer Processing and Modeling
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362093/ https://www.ncbi.nlm.nih.gov/pubmed/34105184 http://dx.doi.org/10.1002/mrm.28852

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