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Deutsch, English, Nederlands, Norsk, Português, <more...>
 [BibTeX] [RIS]
Standardized quantitative radiomics for high-throughput image-based phenotyping
Type of publication: Article
Citation:
Journal: Radiology
Volume: 295
Number: 2
Year: 2020
Month: March
Pages: 328-338
Keywords:
Authors Zwanenburg, Alex
Abdalah, Mahmoud A.
Aerts, Hugo
Andrearczyk, Vincent
Apte, Aditya
Ashrafinia, Saeed
Beukinga, Roelof J.
Boellaard, Ronald
Bogowicz, Marta
Boldrini, Luca
Depeursinge, Adrien
Desseroit, Marie-Charlotte
Dinapoli, Nicola
Dinh, Cuong Viet
Echegaray, Sebastian
El Naqa, Issam
Fedorov, Andriy Y.
Gatta, Roberto
Gillies, Robert J.
Guckenberger, Matthias
Gählert, Nils
Götz, Michael
Hatt, Mathieu
Isensee, Fabian
Lambin, Philippe
Leger, Stefan
Leijenaar, Ralph T. H.
Lenkowicz, Jacopo
Lippert, Fiona
Losnegård, Are
Maier-Hein, Klaus H.
Morin, Olivier
Müller, Henning
Napel, Sandy
Rahmim, Arman
Rao, Arvind U. K.
Sijtsema, Nanna M.
Fernandez, Jairo Socarras
Spezi, Emiliano
Steenbakkers, Roel J. H. M
Tanadini-Lang, Stephanie
Thorwarth, Daniela
Troost, Esther G. C.
Upadhaya, Taman
Valentini, Vincenzo
Vallières, Martin
van der Heide, Uulke A.
van Dijk, Lisanne V.
van Griethuysen, Joost
van Velden, Floris H. P.
Whybra, Philip
Richter, Christian
Löck, Steffen
Added by: []
Total mark: 0
Attachments
  • radiol.2020191145.pdf
Notes
  • []: IF 2018 = 7.608
Topics
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