The role of visceral adiposity in the severity of COVID-19: Highlights from a unicenter cross-sectional pilot study in Germany von Petersen, Antonia, Bressem, Keno, Albrecht, Jakob, Thieß, Hans-Martin, Vahldiek, Janis, Hamm, Bernd, Makowski, Marcus R., Niehues, Alexandra, Niehues, Stefan M., Adams, Lisa C.

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Comparing different deep learning architectures for classification of chest radiographs von Bressem, Keno K., Adams, Lisa C., Erxleben, Christoph, Hamm, Bernd, Niehues, Stefan M., Vahldiek, Janis L.

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Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study von Adams, Lisa C, Truhn, Daniel, Busch, Felix, Kader, Avan, Niehues, Stefan M, Makowski, Marcus R, Bressem, Keno K

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Bail-Out Implantation of an Embolized Balloon-Expandable Transcatheter Heart Valve in the Aortic Arch Using Self-Expandable Stents von Dreger, Henryk, Sündermann, Simon, Niehues, Stefan M., Landmesser, Ulf

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Cephalometric studies of the mandible, its masticatory muscles and vasculature of growing Göttingen Minipigs-A comparative anatomical study to refine experimental mandibular surger... von Corte, Giuliano Mario, Hünigen, Hana, Richardson, Kenneth C, Niehues, Stefan M, Plendl, Johanna

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Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports von Bressem, Keno K, Adams, Lisa C, Gaudin, Robert A, Tröltzsch, Daniel, Hamm, Bernd, Makowski, Marcus R, Schüle, Chan-Yong, Vahldiek, Janis L, Niehues, Stefan M

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Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints von Bressem, Keno K, Adams, Lisa C, Proft, Fabian, Hermann, Kay Geert A, Diekhoff, Torsten, Spiller, Laura, Niehues, Stefan M, Makowski, Marcus R, Hamm, Bernd, Protopopov, Mikhail, Rios Rodriguez, Valeria, Haibel, Hildurn, Rademacher, Judith, Torgutalp, Murat, Lambert, Robert G, Baraliakos, Xenofon, Maksymowych, Walter P, Vahldiek, Janis L, Poddubnyy, Denis

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Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs von Endres, Michael G, Hillen, Florian, Salloumis, Marios, Sedaghat, Ahmad R, Niehues, Stefan M, Quatela, Olivia, Hanken, Henning, Smeets, Ralf, Beck-Broichsitter, Benedicta, Rendenbach, Carsten, Lakhani, Karim, Heiland, Max, Gaudin, Robert A

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Prediction of Postoperative Outcome After Hepatectomy With a New Bedside Test for Maximal Liver Function Capacity von STOCKMANN, Martin, LOCK, Johan F, NEUHAUS, Peter, RIECKE, Björn, HEYNE, Karsten, MARTUS, Peter, FRICKE, Michael, LEHMANN, Sina, NIEHUES, Stefan M, SCHWABE, Michael, LEMKE, Arne-Jörn

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The LiMAx test: a new liver function test for predicting postoperative outcome in liver surgery von Stockmann, Martin, Lock, Johan F., Malinowski, Maciej, Niehues, Stefan M., Seehofer, Daniel, Neuhaus, Peter

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Deep learning for accurately recognizing common causes of shoulder pain on radiographs von Grauhan, Nils F., Niehues, Stefan M., Gaudin, Robert A., Keller, Sarah, Vahldiek, Janis L., Adams, Lisa C., Bressem, Keno K.

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Refining experimental dental implant testing in the Göttingen Minipig using 3D computed tomography-A morphometric study of the mandibular canal von Corte, Giuliano M, Plendl, Johanna, Hünigen, Hana, Richardson, Kenneth C, Gemeinhardt, Ole, Niehues, Stefan M

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Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection von Adams, Lisa C., Makowski, Marcus R., Engel, Günther, Rattunde, Maximilian, Busch, Felix, Asbach, Patrick, Niehues, Stefan M., Vinayahalingam, Shankeeth, van Ginneken, Bram, Litjens, Geert, Bressem, Keno K.

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Are Congenital Cervical Block Vertebrae a Risk Factor for Adjacent Segment Disease? A Retrospective Cross-Sectional CT and MR Imaging Study von Jung, Cornelius, Asbach, Patrick, Niehues, Stefan M

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Automated lung volumetry from routine thoracic CT scans: how reliable is the result? von Haas, Matthias, Hamm, Bernd, Niehues, Stefan M

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Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom study von Michallek, Florian, Genske, Ulrich, Niehues, Stefan Markus, Hamm, Bernd, Jahnke, Paul

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Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints von Bressem, Keno K, Adams, Lisa C, Proft, Fabian, Hermann, Kay Geert A, Diekhoff, Torsten, Spiller, Laura, Niehues, Stefan M, Makowski, Marcus R, Hamm, Bernd, Protopopov, Mikhail, Rios Rodriguez, Valeria, Haibel, Hildurn, Rademacher, Judith, Torgutalp, Murat, Lambert, Robert G, Baraliakos, Xenofon, Maksymowych, Walter P, Vahldiek, Janis L, Poddubny, Denis

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Valve embolization during transcatheter aortic valve implantation: Incidence, risk factors and follow-up by computed tomography von Frumkin, David, Pietron, Malte, Kind, Andreas, Brand, Anna, Knebel, Fabian, Laule, Michael, Leistner, David M., Landmesser, Ulf, Krackhardt, Florian, Sherif, Mohammad, Sündermann, Simon H., Grubitzsch, Herko, Lembcke, Alexander, Niehues, Stefan M., Stangl, Karl, Dreger, Henryk

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Evaluation of potential tissue heating during percutaneous drill-assisted bone sampling in an in vivo porcine study von Niehues, Stefan M., Elezkurtaj, Sefer, Bresssem, Keno K., Hamm, Bernd, Erxleben, Christoph, Vahldiek, Janis, Adams, Lisa C.

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Detection of radiographic sacroiliitis with an artificial neural network in patients with suspicion of axial spondyloarthritis von Poddubnyy, Denis, Proft, Fabian, Hermann, Kay-Geert A, Spiller, Laura, Niehues, Stefan M, Adams, Lisa C, Protopopov, Mikhail, Rios Rodriguez, Valeria, Muche, Burkhard, Rademacher, Judith, Torgutalp, Murat, Bressem, Keno K, Vahldiek, Janis L

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