Marvin Wright

Marvin Wright

wright@leibniz-bips.de
Institution: Leibniz Institute for Prevention Research and Epidemiology - BIPS / University of Bremen
Department: Emmy Noether Junior Research Group "Beyond Prediction - Statistical Inference with Machine Learning"
Position: Group Leader
https://www.bips-institut.de/en/the-institute/departments/biometry-and-data-management/emmy-noether-junior-research-group-beyond-prediction-statistical-inference-with-machine-learning.html

Statistical machine learning, explainable AI

  • Multimodal phenotypic classification of generalized anxiety and panic using structural MRI data and psychosocial factors: machine learning results from the German National Cohort (NAKO) study (2026)

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    Published at: Translational Psychiatry (Volume: 16)
    DOI: 10.1038/s41398-026-04131-1

  • Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests (2026)

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    Published at: International Journal of Epidemiology (Volume: 55)
    DOI: 10.1093/ije/dyag164

  • How can we best predict energy expenditure in preschoolers? A comparison of machine learning models, METs computation and physical activity classification (2026)

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    Published at: Physiological Measurement (Volume: 47)
    DOI: 10.1088/1361-6579/ae9038

  • Predicting Energy Expenditure in Preschool Children Using Accelerometer and Gyroscope Data (2026)

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    Published at: Pediatric Exercise Science (Volume: 38)
    DOI: 10.1123/pes.2025-0014

  • A large-scale neutral comparison study of survival models on low-dimensional data (2026)

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    Published at: Bioinformatics (Volume: 42)
    DOI: 10.1093/bioinformatics/btag186

  • Explainable AI Insights Into EEG Classification and Its Alignment to Neural Correlates (2026)

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    Published at: Human Brain Mapping (Volume: 47)
    DOI: 10.1002/hbm.70528

  • Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention (2026)

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    Published at: Progress in Biomedical Optics and Imaging Proceedings of SPIE (Volume: 13925)
    DOI: 10.1117/12.3086603

  • Missing Value Imputation With Adversarial Random Forests—MissARF (2026)

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    Published at: Statistics in Medicine (Volume: 45)
    DOI: 10.1002/sim.70379

  • Interpretable Machine Learning for Survival Analysis (2025)

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    Published at: Biometrical Journal (Volume: 67)
    DOI: 10.1002/bimj.70089

  • Cross-sectional study of health impairment related to post COVID-19 condition among participants of a large population-based cohort in Germany (2025)

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    Published at: Scientific Reports (Volume: 15)
    DOI: 10.1038/s41598-025-07894-7