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Schuppert, Christopher; Rospleszcz, Susanne 
ORCID: https://orcid.org/0000-0002-4788-2341; Hirsch, Jochen G.; Hoinkiss, Daniel C.; Köhn, Alexander; Krüchten, Ricarda von ORCID: https://orcid.org/0000-0002-3078-6564; Russe, Maximilian F.; Keil, Thomas; Krist, Lilian; Schmidt, Börge; Michels, Karin B.; Schipf, Sabine; Brenner, Hermann; Kröncke, Thomas J.; Pischon, Tobias; Niendorf, Thoralf; Schulz-Menger, Jeanette; Forsting, Michael; Völzke, Henry; Hosten, Norbert; Bülow, Robin; Zaitsev, Maxim; Kauczor, Hans-Ulrich; Bamberg, Fabian; Günther, Matthias und Schlett, Christopher L.
(2023):
Automated image quality assessment for selecting among multiple magnetic resonance image acquisitions in the German National Cohort study.
In: Scientific Reports, Bd. 13, Nr. 22745
[PDF, 3MB]
ORCID: https://orcid.org/0000-0002-4788-2341; Hirsch, Jochen G.; Hoinkiss, Daniel C.; Köhn, Alexander; Krüchten, Ricarda von ORCID: https://orcid.org/0000-0002-3078-6564; Russe, Maximilian F.; Keil, Thomas; Krist, Lilian; Schmidt, Börge; Michels, Karin B.; Schipf, Sabine; Brenner, Hermann; Kröncke, Thomas J.; Pischon, Tobias; Niendorf, Thoralf; Schulz-Menger, Jeanette; Forsting, Michael; Völzke, Henry; Hosten, Norbert; Bülow, Robin; Zaitsev, Maxim; Kauczor, Hans-Ulrich; Bamberg, Fabian; Günther, Matthias und Schlett, Christopher L.
(2023):
Automated image quality assessment for selecting among multiple magnetic resonance image acquisitions in the German National Cohort study.
In: Scientific Reports, Bd. 13, Nr. 22745
[PDF, 3MB]
Schuppert, Christopher; Kruchten, Ricarda von; Hirsch, Jochen G.; Rospleszcz, Susanne; Hoinkiss, Daniel C.; Selder, Sonja; Kohn, Alexander; Stackelberg, Oyunbileg von; Peters, Annette; Volzke, Henry; Kroncke, Thomas; Niendorf, Thoralf; Forsting, Michael; Hosten, Norbert; Hendel, Thomas; Pischon, Tobias; Jockel, Karl-Heinz; Kaaks, Rudolf; Bamberg, Fabian; Kauczor, Hans-Ulrich; Gunther, Matthias und Schlett, Christopher L.
(2022):
Whole-Body Magnetic Resonance Imaging in the Large Population-Based German National Cohort Study Predictive Capability of Automated Image Quality Assessment for Protocol Repetitions.
In: Investigative Radiology, Bd. 57, Nr. 7: S. 478-487