Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Finck, Tom ; Li, Hongwei ; Schlaeger, Sarah ; Grundl, Lioba ; Sollmann, Nico ; Bender, Benjamin ; Bürkle, Eva ; Zimmer, Claus ; Kirschke, Jan ; Menze, Björn ; Mühlau, Mark ; Wiestler, Benedikt
Titel:: Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study
Stichworte:: Neuroscience ; magnetic resonance imaging ; neuroradiology ; multiple sclerosis ; deep learning - artificial neural network (DL-ANN) ; double inversion recovery (DIR) ; synthetic MRI ; artificial intelligence (AI)
Zeitschriftentitel:: Frontiers in Neuroscience
Jahr:: 2022
Band / Volume:: 16
Volltext / DOI:: doi:10.3389/fnins.2022.889808
Verlag / Institution:: Frontiers Media S.A.
E-ISSN:: 1662-453X
Publikationsdatum:: 26.04.2022
CC-Lizenz:: by, https://creativecommons.org/licenses/by/4.0

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