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Estimating uncertainty when providing individual cardiovascular risk predictions: a Bayesian survival analysis2024 Journal of Clinical Epidemiology article Mathematics Statistical Methods in Epidemiology Open access
Steven H J Hageman, Frank L.J. Visseren, John William McEvoy, J. Wouter Jukema, Yvo M. Smulders, Maarten van Smeden, +1 more
4citations -
Estimating uncertainty when providing individual cardiovascular risk predictions: A Bayesian survival analysis2024 European Journal of Preventive Cardiology article Mathematics Statistical Methods in Epidemiology Open access
Steven H J Hageman, F L F Visseren, John William McEvoy, J. Wouter Jukema, Yvo M. Smulders, Maarten van Smeden, +1 more
1citations -
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Medical Image Segmentation Techniques Open access
Prerak Mody, Nicolas F. Chaves-de-Plaza, Chinmay Rao, Eleftheria Astrenidou, Mischa de Ridder, Nienke Hoekstra, +2 more
2citations -
Bayesian parameter inference and uncertainty-informed sensitivity analysis in a 0D cardiovascular model for intraoperative hypotension2025 Computers in Biology and Medicine article Medicine Hemodynamic Monitoring and Therapy Open access
Jan‐Niklas Thiel, Marko Žličar, Ulrich Steinseifer, Borut Kirn, Michael Neidlin
1citations -
Bayesian calibration, process modeling and uncertainty quantification in biotechnology2022 PLoS Computational Biology article Decision Sciences Optimal Experimental Design Methods Open access cited by 1 patent
Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges
34citations -
Combining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling2025 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Kajetan Schweighofer, Natalia Dyubankova, Gerard J. P. van Westen, Herman van Vlijmen
8citations -
Trans-dimensional Bayesian model averaging for 13C-metabolic flux analysis: evidence-based flux inference under structural model uncertainty2026 Bioinformatics article Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access
Johann F. Jadebeck, Anton Stratmann, Martin Beyß, Katharina Nöh
0citations -
Bayesian parameter inference and uncertainty-informed sensitivity analysis in a 0D cardiovascular model for intraoperative hypotension2026 Computers in Biology and Medicine article Medicine Hemodynamic Monitoring and Therapy Open access
Jan‐Niklas Thiel, Marko Žličar, Ulrich Steinseifer, Borut Kirn, Michael Neidlin
0citations -
Comparing Methods for Uncertainty Estimation of Paraganglioma Growth Predictions2026 Journal of Otorhinolaryngology Hearing and Balance Medicine article Medicine Adrenal and Paraganglionic Tumors Open access
Evi Sijben, Vanessa Volz, Tanja Alderliesten, Peter A. N. Bosman, Berit M. Verbist, Erik Frans Hensen
0citations -
Convolutional neural networks as an alternative to Bayesian retrievals for interpreting exoplanet transmission spectra2022 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access
Francisco Ardévol Martínez, Michiel Min, I. Kamp, Paul I. Palmer
32citations -
Rethinking 13C-metabolic flux analysis – The Bayesian way of flux inference2024 Metabolic Engineering article Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access
Axel Theorell, Johann F. Jadebeck, Wolfgang Wiechert, Johnjoe McFadden, Katharina Nöh
7citations