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Anzahl der Publikationen: 4
Zeitschriftenartikel
Mittermeier, Andreas; Reidler, Paul; Fabritius, Matthias P.; Schachtner, Balthasar; Wesp, Philipp; Ertl-Wagner, Birgit; Dietrich, Olaf; Ricke, Jens; Kellert, Lars; Tiedt, Steffen; Kunz, Wolfgang G. und Ingrisch, Michael
(2022):
End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CT.
In: Diagnostics, Bd. 12, Nr. 5
[PDF, 1MB]
Fabritius, Matthias Philipp; Seidenstickler, Max; Rückel, Johannes; Heinze, Constanze; Pech, Maciej; Paprottka, Karolin Johanna; Paprottka, Philipp Marius; Topalis, Johanna; Bender, Andreas; Ricke, Jens; Mittermeier, Andreas und Ingrisch, Michael
(2021):
Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer.
In: Journal of Clinical Medicine, Bd. 10, Nr. 16, 3668
Hainc, Nicolin; Federau, Christian; Tyndall, Anthony; Mittermeier, Andreas; Bink, Andrea; Stippich, Christoph und Schubert, Tilman
(2020):
Evaluation of the clinical utility of maximum intensity projections of3D contrast-enhanced,T1-weighted imaging for the detection of brain metastases.
In: Cancer Reports, Bd. 3, Nr. 5, e1277
Mittermeier, Andreas 
ORCID: https://orcid.org/0000-0001-5743-473X; Ertl-Wagner, Birgit; Ricke, Jens; Dietrich, Olaf ORCID: https://orcid.org/0000-0001-6182-5039 und Ingrisch, Michael ORCID: https://orcid.org/0000-0003-0268-9078
(2019):
Bayesian pharmacokinetic modeling of dynamic contrast-enhanced magnetic resonance imaging: validation and application.
In: Physics in Medicine & Biology, Bd. 64, Nr. 18, 18NT02
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-5743-473X; Ertl-Wagner, Birgit; Ricke, Jens; Dietrich, Olaf ORCID: https://orcid.org/0000-0001-6182-5039 und Ingrisch, Michael ORCID: https://orcid.org/0000-0003-0268-9078
(2019):
Bayesian pharmacokinetic modeling of dynamic contrast-enhanced magnetic resonance imaging: validation and application.
In: Physics in Medicine & Biology, Bd. 64, Nr. 18, 18NT02
[PDF, 1MB]