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Stefan Konigorski
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Cited by
Year
Diagnosis of obesity and use of obesity biomarkers in science and clinical medicine
K Nimptsch, S Konigorski, T Pischon
Metabolism 92, 61-70, 2019
3482019
Time to reality check the promises of machine learning-powered precision medicine
J Wilkinson, KF Arnold, EJ Murray, M van Smeden, K Carr, R Sippy, ...
The Lancet Digital Health 2 (12), e677-e680, 2020
2322020
Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling
M Piccininni, S Konigorski, JL Rohmann, T Kurth
arXiv preprint arXiv:2002.09414, 2020
632020
Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling.
KT Piccininni M, Konigorski S, Rohmann JL
BMC Medical Research Methodology 20, 179, 2020
63*2020
Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa
J Fehr, S Konigorski, S Olivier, R Gunda, A Surujdeen, D Gareta, T Smit, ...
NPJ digital medicine 4 (1), 1-10, 2021
472021
Association of dietary intake of milk and dairy products with blood concentrations of insulin-like growth factor 1 (IGF-1) in Bavarian adults
ER Ventura, S Konigorski, S Rohrmann, H Schneider, GK Stalla, ...
European journal of nutrition 59 (4), 1413-1420, 2020
472020
Sexist behavior undermines women’s performance in a job application situation
SC Koch, S Konigorski, M Sieverding
Sex roles 70 (3-4), 79-87, 2014
412014
Prediction of circulating adipokine levels based on body fat compartments and adipose tissue gene expression
S Konigorski, J Janke, D Drogan, MM Bergmann, J Hierholzer, R Kaaks, ...
Obesity facts 12 (6), 590-605, 2019
402019
transferGWAS: GWAS of images using deep transfer learning
M Kirchler, S Konigorski, M Norden, C Meltendorf, M Kloft, C Schurmann, ...
Bioinformatics 38 (14), 3621-3628, 2022
382022
Variability and reliability study of overall physical activity and activity intensity levels using 24 h-accelerometry-assessed data
L Jaeschke, A Steinbrecher, S Jeran, S Konigorski, T Pischon
BMC Public Health 18 (1), 1-10, 2018
382018
Predicting the SARS-CoV-2 effective reproduction number using bulk contact data from mobile phones
S Rüdiger, S Konigorski, A Rakowski, JA Edelman, D Zernick, A Thieme, ...
Proceedings of the National Academy of Sciences 118 (31), e2026731118, 2021
332021
Type 1 diabetes and the HLA region: Genetic association besides classical HLA class II genes
J Sticht, M Álvaro-Benito, S Konigorski
Frontiers in Genetics 12, 1044, 2021
322021
Bivariate genetic association analysis of systolic and diastolic blood pressure by copula models
S Konigorski, YE Yilmaz, SB Bull
BMC proceedings 8 (S1), S72, 2014
192014
StudyU: a platform for designing and conducting innovative digital N-of-1 trials
S Konigorski, S Wernicke, T Slosarek, AM Zenner, N Strelow, DF Ruether, ...
Journal of Medical Internet Research 24 (7), e35884, 2022
172022
Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes
R Monti, P Rautenstrauch, M Ghanbari, AR James, M Kirchler, U Ohler, ...
Nature communications 13 (1), 5332, 2022
132022
Comparison of single-marker and multi-marker tests in rare variant association studies of quantitative traits
S Konigorski, YE Yilmaz, T Pischon
PloS one 12 (5), e0178504, 2017
122017
Interaction-Based Feature Selection Algorithm Outperforms Polygenic Risk Score in Predicting Parkinson’s Disease Status
JL Cope, HA Baukmann, JE Klinger, CNJ Ravarani, EP Böttinger, ...
Frontiers in Genetics 12, 2021
92021
Diagnostic accuracy of cerebrospinal fluid biomarkers for the differential diagnosis of sporadic Creutzfeldt–Jakob disease: a (network) meta‐analysis
N Rübsamen, S Pape, S Konigorski, A Zapf, G Rücker, A Karch
European Journal of Neurology 29 (5), 1366-1376, 2022
82022
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models
M Piccininni, M Wechsung, B Van Calster, JL Rohmann, S Konigorski, ...
Journal of Biomedical Informatics, 104666, 2024
72024
Assessing the transportability of clinical prediction models for cognitive impairment using causal models
J Fehr, M Piccininni, T Kurth, S Konigorski
BMC Medical Research Methodology 23 (1), 187, 2023
72023
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Articles 1–20