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Goller, Sophia S; Foreman, Sarah C; Rischewski, Jon F; Weißinger, Jürgen; Dietrich, Anna-Sophia; Schinz, David; Stahl, Robert; Luitjens, Johanna; Siller, Sebastian; Schmidt, Vanessa F; Erber, Bernd; Ricke, Jens; Liebig, Thomas; Kirschke, Jan S; Dieckmeyer, Michael; Gersing, Alexandra S (2023). Differentiation of benign and malignant vertebral fractures using a convolutional neural network to extract CT-based texture features. European spine journal, 32(12), pp. 4314-4320. Springer 10.1007/s00586-023-07838-7
Dieckmeyer, Michael; Sollmann, Nico; Kupfer, Karina; Löffler, Maximilian T; Paprottka, Karolin J; Kirschke, Jan S; Baum, Thomas (2023). Computed Tomography of the Head : A Systematic Review on Acquisition and Reconstruction Techniques to Reduce Radiation Dose. Clinical neuroradiology, 33(3), pp. 591-610. Springer-Verlag 10.1007/s00062-023-01271-5
Schlaeger, Sarah; Shit, Suprosanna; Eichinger, Paul; Hamann, Marco; Opfer, Roland; Krüger, Julia; Dieckmeyer, Michael; Schön, Simon; Mühlau, Mark; Zimmer, Claus; Kirschke, Jan S; Wiestler, Benedikt; Hedderich, Dennis M (2023). AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis. Insights into imaging, 14(1), p. 123. Springer 10.1186/s13244-023-01460-3
Bodden, Jannis; Dieckmeyer, Michael; Sollmann, Nico; Burian, Egon; Rühling, Sebastian; Löffler, Maximilian T; Sekuboyina, Anjany; El Husseini, Malek; Zimmer, Claus; Kirschke, Jan S; Baum, Thomas (2023). Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans. Frontiers in endocrinology, 14(1207949), p. 1207949. Frontiers Research Foundation 10.3389/fendo.2023.1207949
