Secure federated learning for Alzheimer's disease detection by Angela Mitrovska, Angela Mitrovska, Pooyan Safari, Kerstin Ritter, Kerstin Ritter, Behnam Shariati, Johannes Karl Fischer

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Patch individual filter layers in CNNs to harness the spatial homogeneity of neuroimaging data by Fabian Eitel, Jan Philipp Albrecht, Martin Weygandt, Friedemann Paul, Kerstin Ritter

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Performance reserves in brain-imaging-based phenotype prediction by Marc-Andre Schulz, Danilo Bzdok, Stefan Haufe, John-Dylan Haynes, Kerstin Ritter

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COVID-19: a simple statistical model for predicting intensive care unit load in exponential phases of the disease by Matthias Ritter, Derek V. M. Ott, Friedemann Paul, John-Dylan Haynes, Kerstin Ritter

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Deep neural network heatmaps capture Alzheimer’s disease patterns reported in a large meta-analysis of neuroimaging studies by Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes

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Higher performance for women than men in MRI-based Alzheimer’s disease detection by Malte Klingenberg, Didem Stark, Fabian Eitel, Céline Budding, Mohamad Habes, Kerstin Ritter, for the Alzheimer’s Disease Neuroimaging Initiative

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Multimodal prediction of conversion to Alzheimer's disease based on incomplete biomarkers∗ by Kerstin Ritter, Julia Schumacher, Martin Weygandt, Ralph Buchert, Carsten Allefeld, John‐Dylan Haynes, Alzheimer's Disease Neuroimaging Initiative

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Benchmarking the influence of pre-training on explanation performance in MR image classification by Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe, Stefan Haufe, Stefan Haufe

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MRI-based diagnostic biomarkers for early onset pediatric multiple sclerosis by Martin Weygandt, Hannah-Maria Hummel, Katharina Schregel, Kerstin Ritter, Carsten Allefeld, Esther Dommes, Peter Huppke, John­Dylan Haynes, Jens Wuerfel, Jutta Gärtner

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Artificial Intelligence Bias in Health Care: Web-Based Survey by Carina Nina Vorisek, Caroline Stellmach, Paula Josephine Mayer, Sophie Anne Ines Klopfenstein, Dominik Martin Bures, Anke Diehl, Maike Henningsen, Kerstin Ritter, Sylvia Thun

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Altered Coupling of Psychological Relaxation and Regional Volume of Brain Reward Areas in Multiple Sclerosis by Katharina Wakonig, Fabian Eitel, Fabian Eitel, Kerstin Ritter, Kerstin Ritter, Stefan Hetzer, Tanja Schmitz-Hübsch, Tanja Schmitz-Hübsch, Judith Bellmann-Strobl, Judith Bellmann-Strobl, John-Dylan Haynes, John-Dylan Haynes, John-Dylan Haynes, Alexander U. Brandt, Alexander U. Brandt, Stefan M. Gold, Stefan M. Gold, Stefan M. Gold, Friedemann Paul, Friedemann Paul, Friedemann Paul, Martin Weygandt, Martin Weygandt

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Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation by Fabian Eitel, Emily Soehler, Judith Bellmann-Strobl, Alexander U. Brandt, Klemens Ruprecht, René M. Giess, Joseph Kuchling, Susanna Asseyer, Martin Weygandt, John-Dylan Haynes, Michael Scheel, Friedemann Paul, Kerstin Ritter

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Similar neural pathways link psychological stress and brain-age in health and multiple sclerosis by Marc-Andre Schulz, Stefan Hetzer, Fabian Eitel, Susanna Asseyer, Lil Meyer-Arndt, Tanja Schmitz-Hübsch, Judith Bellmann-Strobl, James H. Cole, Stefan M. Gold, Friedemann Paul, Kerstin Ritter, Martin Weygandt

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Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke by Lea Fast, Uchralt Temuulen, Kersten Villringer, Anna Kufner, Anna Kufner, Anna Kufner, Huma Fatima Ali, Eberhard Siebert, Shufan Huo, Shufan Huo, Shufan Huo, Sophie K. Piper, Sophie K. Piper, Sophie K. Piper, Pia Sophie Sperber, Pia Sophie Sperber, Pia Sophie Sperber, Pia Sophie Sperber, Thomas Liman, Thomas Liman, Thomas Liman, Thomas Liman, Matthias Endres, Matthias Endres, Matthias Endres, Matthias Endres, Matthias Endres, Matthias Endres, Kerstin Ritter, Kerstin Ritter

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Design and methods of the research unit 5187 PREACT (towards precision psychotherapy for non-respondent patients: from signatures to predictions to clinical utility) – a study prot... by Stephan Heinzel, Christine Knaevelsrud, Henrik Walter, Till Langhammer, Ulrike Lueken, Chantal Unterfeld, Felix Blankenburg, Susanne Erk, Lydia Fehm, John-Dylan Haynes, Kevin Hilbert, Frank Jacobi, Norbert Kathmann, Babette Renneberg, Kerstin Ritter, Nikola Stenzel

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Uncontrolled eating and sensation-seeking partially explain the prediction of future binge drinking from adolescent brain structure by Roshan Prakash Rane, Milena Philomena Maria Musial, Anne Beck, Michael Rapp, Florian Schlagenhauf, Tobias Banaschewski, Arun L.W. Bokde, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Herve Lemaitre, Sarah Hohmann, Gunter Schumann, Henrik Walter, Andreas Heinz, Kerstin Ritter

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Structural differences in adolescent brains can predict alcohol misuse by Roshan Prakash Rane, Evert Ferdinand de Man, JiHoon Kim, Kai Görgen, Mira Tschorn, Michael A Rapp, Tobias Banaschewski, Arun LW Bokde, Sylvane Desrivieres, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A Gowland, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomas Paus, Luise Poustka, Juliane Fröhner, Lauren Robinson, Michael N Smolka, Jeanne Winterer, Robert Whelan, Gunter Schumann, Henrik Walter, Andreas Heinz, Kerstin Ritter, IMAGEN consortium

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