Search Results - Kate Gerber

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  1. 1

    Deep learning algorithms enable MRI-based scapular morphology analysis with values comparable to CT-based assessments by Hanspeter Hess, Alexandra Oswald, J. Tomás Rojas, Alexandre Lädermann, Matthias A. Zumstein, Kate Gerber

    Published in Scientific Reports (2025-01-01)
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  2. 2

    Advancing musculoskeletal shoulder modeling: reflecting glenohumeral translation with bony, ligamentous, and muscular stability constraints by Johanna Menze, Johanna Menze, Eleonora Croci, Eleonora Croci, Michael Skipper Andersen, Hanspeter Hess, Hanspeter Hess, Morten Enemark Lund, Enrico De Pieri, Enrico De Pieri, Matthias A. Zumstein, Stephen J. Ferguson, Andreas Marc Müller, Annegret Mündermann, Annegret Mündermann, Annegret Mündermann, Kate Gerber, Kate Gerber

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  3. 3

    Deep-Learning-Based Segmentation of the Shoulder from MRI with Inference Accuracy Prediction by Hanspeter Hess, Adrian C. Ruckli, Finn Bürki, Nicolas Gerber, Jennifer Menzemer, Jürgen Burger, Michael Schär, Matthias A. Zumstein, Kate Gerber

    Published in Diagnostics (2023-05-01)
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  4. 4

    Severity of rotator cuff disorders and additional load affect fluoroscopy-based shoulder kinematics during arm abduction by Eleonora Croci, Hanspeter Hess, Jeremy Genter, Cornelia Baum, Balazs Krisztian Kovacs, Corina Nüesch, Daniel Baumgartner, Kate Gerber, Andreas Marc Müller, Annegret Mündermann

    Published in Journal of Orthopaedics and Traumatology (2024-06-01)
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  5. 5

    Effect of patient-specific scapular morphology on the glenohumeral joint force and shoulder muscle force equilibrium: a study of rotator cuff tear and osteoarthritis patients by Alexandra Oswald, Johanna Menze, Hanspeter Hess, Matthijs Jacxsens, J. Tomas Rojas, Alexandre Lädermann, Alexandre Lädermann, Alexandre Lädermann, Alexandre Lädermann, Michael Schär, Stephen J. Ferguson, Matthias A. Zumstein, Kate Gerber

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  6. 6

    Safety of arthroscopic rotator cuff repair: using a core event set for clinician and patient assessment of risks in a multicenter cohort study by Alexandre Lädermann, Andreas Mueller, Sabina Hunziker, Christian Jung, Christian Appenzeller-Herzog, Florian Grubhofer, Soheila Aghlmandi, Hans-Kaspar Schwyzer, Fabrizio Moro, Matthias Flury, Barbara Wirth, Markus Scheibel, Laurent Audigé, Philipp Moroder, Thomas Stojanov, David Schwappach, Christian Candrian, Gregory Cunningham, Holger Durchholz, Karim Eid, Bernhard Jost, Claudio Rosso, Michael Schär, Thomas Suter, Karl Wieser, Doruk Akgün, Claudia Haag-Schumacher, Britta Hansen, Johannes Weihs, Paolo Lombardo, Larissa Hübscher, Ralph Berther, Christine Ehrmann, Susanne Bensler, Michael Glanzmann, Florian Freislederer, Cécile Grobet, Marije de Jong, Martina Wehrli, Jan Schätz, Francesco Marbach, Florian Schönweger, Giuseppe Filardo, Filippo Del Grande, Pietro Feltri, Christian Spross, Martin Olach, Michael Badulescu, Vilijam Zdravkovic, Stephanie Lüscher, Jörg Scheler, Lena Öhrström, Annabel Hayoz, Julia Müller-Lebschi, Christian Gerber, Samy Bouaicha, Paul Borbas, Anita Hasler, Sabrina Catanzaro, Sabine Wyss, Reto Sutter, Mohy Taha, Cornelia Baum, Simone Hatz, Giorgio Tamborrini-Schütz, Nicolas Gallusser, Matthias A Zumstein, Markus Pisan, Kushtrim Grezda, Sebastian Andreas Müller, Isabella Weiss, Eduardo Samaniego, Sebastian A Müller, Markus Saner, Mai Lan Dao Trong, Carlos Buitrago-Tellez, Julian Hasler, Ulf Riede, Beat Moor, Matthias Biner, Christoph Spormann, Rainer Egli, Stephanie Erdbrink, Kate Gerber, Yannick Fritz, Emanuel Benninger, Philemon Grimm, Daniela Brune, Stefan Diermayr, Marco Etter, Ralph Ringer, Fabian Napieralski, Jan Rechsteiner, Roland Camenzind, Bettina Hochreiter, Roy Marcus, Farah Selman, Andreas Marc Müller, Franziska Eckers

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