Publications by authors named "Kerstin Ritter"

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Generating synthetic task-based brain fingerprints for population neuroscience using deep learning.
Emin Serin, Kerstin Ritter, Gunter Schumann, Tobias Banaschewski, Andre Marquand

Commun Biol· November 2025

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Brain-age models with lower age prediction accuracy have higher sensitivity for disease detection.
Marc-Andre Schulz, Nys Tjade Siegel, Kerstin Ritter

PLoS Biol· October 2025

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Machine Learning Classification of Smoking Behaviours-From Social Environment to the Prefrontal Cortex.
Pablo Reinhardt, Norman Zacharias, Marinus Fislage, Justin Böhmer, Barbara Hollunder, Kerstin Ritter

Addict Biol· August 2025

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Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application.
Nys Tjade Siegel, James H Cole, Mohamad Habes, Stefan Haufe, Kerstin Ritter

ArXiv· August 2025

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Do Transformers and CNNs Learn Different Concepts of Brain Age?
Nys Tjade Siegel, Dagmar Kainmueller, Fatma Deniz, Kerstin Ritter, Marc-Andre Schulz

Hum Brain Mapp· June 2025

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Generating Synthetic Task-based Brain Fingerprints for Population Neuroscience Using Deep Learning.
Emin Serin, Kerstin Ritter, Gunter Schumann, Tobias Banaschewski, Andre Marquand

bioRxiv· May 2025

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Pioneering new paths: the role of generative modelling in neurological disease research.
Moritz Seiler, Kerstin Ritter

Pflugers Arch· April 2025

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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 protocol for a multicentre observational study in outpatient clinics.
Till Langhammer, Chantal Unterfeld, Felix Blankenburg, Susanne Erk, Lydia Fehm, Kerstin Ritter

BMJ Open· February 2025

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Evaluation of machine learning-based classification of clinical impairment and prediction of clinical worsening in multiple sclerosis.
Samantha Noteboom, Moritz Seiler, Claudia Chien, Roshan P Rane, Frederik Barkhof, Kerstin Ritter

J Neurol· August 2024

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Design studies for clinical prediction.
Kevin Hilbert, Peter Weller, Kerstin Ritter, John-Dylan Haynes, Henrik Walter

Science· August 2024

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The ReCoDe addiction research consortium: Losing and regaining control over drug intake-Findings and future perspectives.
Rainer Spanagel, Patrick Bach, Tobias Banaschewski, Anne Beck, Felix Bermpohl, Kerstin Ritter

Addict Biol· July 2024

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

Front Aging Neurosci· March 2024

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

Front Artif Intell· February 2024

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

Cell Rep· January 2024

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Uncontrolled eating and sensation-seeking partially explain the prediction of future binge drinking from adolescent brain structure.
Roshan Prakash Rane, Milena Philomena Maria Musial, Anne Beck, Michael Rapp, Florian Schlagenhauf, Kerstin Ritter

Neuroimage Clin· December 2023

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Similar neural pathways link psychological stress and brain-age in health and multiple sclerosis.
Marc-Andre Schulz, Stefan Hetzer, Fabian Eitel, Susanna Asseyer, Lil Meyer-Arndt, Kerstin Ritter

iScience· September 2023

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Artificial Intelligence Bias in Health Care: Web-Based Survey.
Carina Nina Vorisek, Caroline Stellmach, Paula Josephine Mayer, Sophie Anne Ines Klopfenstein, Dominik Martin Bures, Kerstin Ritter

J Med Internet Res· June 2023

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

Neuroimage· April 2023

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Higher performance for women than men in MRI-based Alzheimer's disease detection.
Malte Klingenberg, Didem Stark, Fabian Eitel, Céline Budding, Mohamad Habes, Kerstin Ritter

Alzheimers Res Ther· April 2023

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Predicting psychotic relapse following randomised discontinuation of paliperidone in individuals with schizophrenia or schizoaffective disorder: an individual participant data analysis.
Lasse Brandt, Kerstin Ritter, Johannes Schneider-Thoma, Spyridon Siafis, Christiane Montag

Lancet Psychiatry· March 2023

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Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke.
Lea Fast, Uchralt Temuulen, Kersten Villringer, Anna Kufner, Huma Fatima Ali, Kerstin Ritter

Front Neurol· February 2023

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Prediction of high and low disease activity in early MS patients using multiple kernel learning identifies importance of lateral ventricle intensity.
Claudia Chien, Moritz Seiler, Fabian Eitel, Tanja Schmitz-Hübsch, Friedemann Paul, Kerstin Ritter

Mult Scler J Exp Transl Clin· July 2022

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Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks.
Pooja Subramaniam, Tabea Kossen, Kerstin Ritter, Anja Hennemuth, Kristian Hildebrand

Med Image Anal· May 2022

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Structural differences in adolescent brains can predict alcohol misuse.
Roshan Prakash Rane, Evert Ferdinand de Man, JiHoon Kim, Kai Görgen, Mira Tschorn, Kerstin Ritter

Elife· May 2022

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

Sci Rep· December 2021

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