- Alternative title
-
Quantitative Analyse von DCE und DSC-MRT: Kinetisches Modelling bis Deep Learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Quantitative Analysis of DCE and DSC-MRI: From Kinetic Modeling to Deep Learning ; day:24 ; month:02 ; year:2022
RöFo ; (24.02.2022)
- Contributor
-
Rotkopf, Lukas T.
Zhang, Kevin Sun
Tavakoli, Anoshirwan Andrej
Bonekamp, David
Ziener, Christian Herbert
Schlemmer, Heinz-Peter
- DOI
-
10.1055/a-1762-5854
- URN
-
urn:nbn:de:101:1-2022042110561709763438
- Rights
-
Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Rotkopf, Lukas T.
- Zhang, Kevin Sun
- Tavakoli, Anoshirwan Andrej
- Bonekamp, David
- Ziener, Christian Herbert
- Schlemmer, Heinz-Peter
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Temporal Huber Regularization for DCE-MRI
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Assessment of cardiac RF ablation lesions by DCE-MRI
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Temporal Huber Regularization for DCE-MRI
ASL, DSC, DCE perfusion MRI and 18F-DOPA PET/CT in differentiating glioma recurrence from post-treatment changes
Assessment of cardiac RF ablation lesions by DCE-MRI
Blind estimation of pharmacokinetic parameters in cardiac DCE-MRI
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Lymph node metastasis prediction and biological pathway associations underlying DCE-MRI deep learning radiomics in invasive breast cancer
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Cluster analysis of the signal curves in perfusion DCE-MRI datasets