Determining body height and weight from thoracic and abdominal CT localizers in pediatric and young adult patients using deep learning von Demircioğlu, Aydin, Quinsten, Anton S., Umutlu, Lale, Forsting, Michael, Nassenstein, Kai, Bos, Denise

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Determining the anatomical site in knee radiographs using deep learning von Quinsten, Anton S., Umutlu, Lale, Forsting, Michael, Nassenstein, Kai, Demircioğlu, Aydin

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Detecting the pulmonary trunk in CT scout views using deep learning von Demircioğlu, Aydin, Stein, Magdalena Charis, Kim, Moon-Sung, Geske, Henrike, Quinsten, Anton S., Blex, Sebastian, Umutlu, Lale, Nassenstein, Kai

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Remote MR scanning – A solution for shortage of skilled radiographers von Quinsten, Anton S., Apel, Marcel, Oliveira, Samuel

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Pediatric age estimation from radiographs of the knee using deep learning von Demircioğlu, Aydin, Quinsten, Anton S., Forsting, Michael, Umutlu, Lale, Nassenstein, Kai

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Diagnostic value of diffusion-weighted magnetic resonance imaging (DWI) compared to FDG PET/CT for whole-body breast cancer staging von Heusner, Till-Alexander, Kuemmel, Sherko, Koeninger, Angela, Hamami, Monia E., Hahn, Steffen, Quinsten, Anton, Bockisch, Andreas, Forsting, Michael, Lauenstein, Thomas, Antoch, Gerald, Stahl, Alexander

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Delegation of the Primary Responsibility for MRI Informed Consentto Technical Assistants von Quinsten, Anton Sheahan, Haubold, Johannes, Kröncke, Thomas, Friedrich, Lena, Pischon, Tobias, Niendorf, Thoralf, Forsting, Michael, Hosten, Norbert, Völzke, Henry, Bamberg, Fabian, Schlett, Christopher L, Kauczor, Hans-Ulrich, Brandelik, Simone, Theysohn, Jens

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Delegation of the primary responsibility for MRI informed consent to technical assistants—findings from the NAKO health study von Quinsten, Anton Sheahan, Haubold, Johannes, Kröncke, Thomas, Friedrich, Lena, Pischon, Tobias, Niendorf, Thoralf, Forsting, Michael, Hosten, Norbert, Völzke, Henry, Bamberg, Fabian, Schlett, Christopher L., Kauczor, Hans-Ulrich, Brandelik, Simone, Theysohn, Jens

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