Resultats de la cerca - Kerstin Ritter

  • Mostrar 1 - 9 resultats de 9
Refinar resultats
  1. 1
    Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research

    Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research per Fabian Eitel, Marc‐Andre Schulz, Moritz Seiler, Henrik Walter, Kerstin Ritter

    Publicat 2021
    Obtenir text complet
    Revisão
    Afegir a favorits
    Guardat en:
  2. 2
    Performance reserves in brain-imaging-based phenotype prediction

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

    Publicat 2023
    Obtenir text complet Obtenir text complet
    Artigo
    Afegir a favorits
    Guardat en:
  3. 3
    MRI Pattern Recognition in Multiple Sclerosis Normal-Appearing Brain Areas

    MRI Pattern Recognition in Multiple Sclerosis Normal-Appearing Brain Areas per Martin Weygandt, Kerstin Ritter, Caspar Pfüller, Judith Bellmann‐Strobl, Friedemann Paul, Frauke Zipp, John­–Dylan Haynes

    Publicat 2011
    Obtenir text complet Obtenir text complet
    Artigo
    Afegir a favorits
    Guardat en:
  4. 4
    The role of neural impulse control mechanisms for dietary success in obesity

    The role of neural impulse control mechanisms for dietary success in obesity per Martin Weygandt, Knut Mai, Esther Dommes, Verena Leupelt, Kerstin Ritter, Thorsten Kahnt, Yvonne Rothemund, Joachim Spranger, John­–Dylan Haynes

    Publicat 2013
    Obtenir text complet
    Artigo
    Afegir a favorits
    Guardat en:
  5. 5
    Artificial Intelligence Bias in Health Care: Web-Based Survey

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

    Publicat 2023
    Obtenir text complet Obtenir text complet
    Artigo
    Afegir a favorits
    Guardat en:
  6. 6
    Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke

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

    Publicat 2023
    Obtenir text complet Obtenir text complet
    Artigo
    Afegir a favorits
    Guardat en:
  7. 7
    Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation

    Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation per 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

    Publicat 2019
    Obtenir text complet
    Artigo
    Afegir a favorits
    Guardat en:
  8. 8
    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 protocol for a multicentre observational study in outpatient clinics

    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... per Till Langhammer, Chantal Unterfeld, Felix Blankenburg, Susanne Erk, Lydia Fehm, John­–Dylan Haynes, Stephan Heinzel, Kevin Hilbert, Frank Jacobi, Norbert Kathmann, Christine Knaevelsrud, Babette Renneberg, Kerstin Ritter, Nikola Stenzel, Henrik Walter, Ulrike Lueken

    Publicat 2025
    Obtenir text complet
    Artigo
    Afegir a favorits
    Guardat en:
  9. 9
    The ReCoDe addiction research consortium: Losing and regaining control over drug intake—Findings and future perspectives

    The ReCoDe addiction research consortium: Losing and regaining control over drug intake—Findings and future perspectives per Rainer Spanagel, Patrick Bach, Tobias Banaschewski, Anne Beck, Felix Bermpohl, Rick E. Bernardi, Christian Beste, Lorenz Deserno, Daniel Durstewitz, Ulrich Ebner‐Priemer, Tanja Endraß, Karen D. Ersche, Gordon B. Feld, Martin Fungisai Gerchen, Björn Gerlach, Thomas Goschke, Anita C. Hansson, Christine Heim, Stefan J. Kiebel, Falk Kiefer, Peter Kirsch, Clemens Kirschbaum, Georgia Koppe, Bernd Lenz, Shuyan Liu, Michael Marxen, Marcus W. Meinhardt, Andreas Meyer‐Lindenberg, Christiane Montag, Christian P. Müller, Wolfgang E. Nagel, Ana M. M. Oliveria, David Owald, Maximilian Pilhatsch, Josef Priller, Michael A. Rapp, Markus Reichert, Stephan Ripke, Kerstin Ritter, Nina Romanczuk‐Seiferth, Florian Schlagenhauf, Emanuel Schwarz, Sarah Schwöbel, Michael N. Smolka, Surjo R. Soekadar, Wolfgang H. Sommer, Ann‐Kathrin Stock, Andreas Ströhle, Heike Tost, Sabine Vollstädt‐Klein, Henrik Walter, Tina Waschke, Stephanie H. Witt, Andreas Heinz

    Publicat 2024
    Obtenir text complet Obtenir text complet
    Artigo
    Afegir a favorits
    Guardat en:

Eines de cerca: