Natal A. W. van Riel

25 papers C 1Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Electrocardiogram Feature Extraction: A Quantitative Comparison of Signal Reconstruction Using Traditional and Autoencoder Methods.
EMA4MICCAI
Roy R. M. Van Mierlo, Freek J. A. Relouw, Natal A. W. van Riel
2025 J jnl
Physiology-informed regularisation enables training of universal differential equation systems for biological applications.
PLoS Comput. Biol.
Max de Rooij, Balázs Erdos, Natal A. W. van Riel, Shauna D. O'Donovan
2024 — conf
An Interpretability-Driven Fuzzy Modeling Methodology for Personalized Meal Detection.
FUZZ
Danilo Ferreira de Carvalho, Uzay Kaymak, Pieter Van Gorp, Natal A. W. van Riel
2024 J jnl
Does GLP-1 cause post-bariatric hypoglycemia: 'Computer says no'.
Comput. Methods Programs Biomed.
Ysanne M. Pasveer, Ömrüm Aydin, Albert K. Groen, Abraham S. Meijnikman, Max Nieuwdorp, Victor E. A. Gerdes, Natal A. W. van Riel
2024 — conf
Reproducing and Improving One-Dimensional Convolutional Neural Networks for Arterial Blood Pressure-Based Cardiac Output Estimation.
MeMeA
Roy R. M. Van Mierlo, R. Arthur Bouwman, Natal A. W. van Riel
2023 J jnl
Data-driven meal events detection using blood glucose response patterns.
BMC Medical Informatics Decis. Mak.
Danilo Ferreira de Carvalho, Uzay Kaymak, Pieter Van Gorp, Natal A. W. van Riel
2023 J jnl
Machine Learning for Postoperative Continuous Recovery Scores of Oncology Patients in Perioperative Care with Data from Wearables.
Sensors
Meike A. C. van den Eijnden, Jonna A. van der Stam, R. Arthur Bouwman, Eveline H. J. Mestrom, Wim F. J. Verhaegh, Natal A. W. van Riel, Lieke G. E. Cox
2023 C conf
Parameter Estimation Of A Physiological Diabetes Model Using Neural Networks.
CIBCB
Ana Moreira, Maren Philipps, Natal A. W. van Riel
2022 — conf
Population and Individual Level Meal Response Patterns in Continuous Glucose Data.
IPMU (2)
Danilo Ferreira de Carvalho, Uzay Kaymak, Pieter Van Gorp, Natal A. W. van Riel
2021 J jnl
Personalized computational model quantifies heterogeneity in postprandial responses to oral glucose challenge.
PLoS Comput. Biol.
Balázs Erdos, Bart van Sloun, Michiel E. Adriaens, Shauna D. O'Donovan, Dominique Langin, Arne Astrup, Ellen E. Blaak, Ilja C. W. Arts, Natal A. W. van Riel
2020 J jnl
A Distance-Based Framework for the Characterization of Metabolic Heterogeneity in Large Sets of Genome-Scale Metabolic Models.
Patterns
Andrea Cabbia, Peter A. J. Hilbers, Natal A. W. van Riel
2020 J jnl
A Distance-Based Framework for the Characterization of Metabolic Heterogeneity in Large Sets of Genome-Scale Metabolic Models.
Patterns
Andrea Cabbia, Peter A. J. Hilbers, Natal A. W. van Riel
2019 J jnl
A computational model of postprandial adipose tissue lipid metabolism derived using human arteriovenous stable isotope tracer data.
PLoS Comput. Biol.
Shauna D. O'Donovan, Michael Lenz, Roel G. Vink, Nadia J. T. Roumans, Theo M. de Kok, Edwin C. M. Mariman, Ralf L. M. Peeters, Natal A. W. van Riel, Marleen A. van Baak, Ilja C. W. Arts
2019 J jnl
Computational modelling of energy balance in individuals with Metabolic Syndrome.
BMC Syst. Biol.
Yvonne J. W. Rozendaal, Yanan Wang, Peter A. J. Hilbers, Natal A. W. van Riel
2019 — ch.
Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis.
Automated Reasoning for Systems Biology and Medicine
Dragan Bosnacki, Natal A. W. van Riel, Mitko Veta
2018 J jnl
In vivo and in silico dynamics of the development of Metabolic Syndrome.
PLoS Comput. Biol.
Yvonne J. W. Rozendaal, Yanan Wang, Yared Paalvast, Lauren L. Tambyrajah, Zhuang Li, Ko Willems van Dijk, Patrick C. N. Rensen, Jan A. Kuivenhoven, Albert K. Groen, Peter A. J. Hilbers, Natal A. W. van Riel
2014 J jnl
A Computational Model for the Analysis of Lipoprotein Distributions in the Mouse: Translating FPLC Profiles to Lipoprotein Metabolism.
PLoS Comput. Biol.
Fianne L. P. Sips, Christian A. Tiemann, Maaike H. Oosterveer, Albert K. Groen, Peter A. J. Hilbers, Natal A. W. van Riel
2014 J jnl
Optimal experiment design for model selection in biochemical networks.
BMC Syst. Biol.
Joep Vanlier, Christian A. Tiemann, Peter A. J. Hilbers, Natal A. W. van Riel
2013 J jnl
Parameter Trajectory Analysis to Identify Treatment Effects of Pharmacological Interventions.
PLoS Comput. Biol.
Christian A. Tiemann, Joep Vanlier, Maaike H. Oosterveer, Albert K. Groen, Peter A. J. Hilbers, Natal A. W. van Riel
2012 J jnl
A Bayesian approach to targeted experiment design.
Bioinform.
Joep Vanlier, Christian A. Tiemann, Peter A. J. Hilbers, Natal A. W. van Riel
2012 J jnl
An integrated strategy for prediction uncertainty analysis.
Bioinform.
Joep Vanlier, Christian A. Tiemann, Peter A. J. Hilbers, Natal A. W. van Riel
2011 J jnl
Parameter adaptations during phenotype transitions in progressive diseases.
BMC Syst. Biol.
Christian A. Tiemann, Joep Vanlier, Peter A. J. Hilbers, Natal A. W. van Riel
2007 — conf
Qualitative Analysis of Nonlinear Biochemical Networks with Piecewise-Affine Functions.
HSCC
M. W. J. M. Musters, Hidde de Jong, P. P. J. van den Bosch, Natal A. W. van Riel
2006 J jnl
Dynamic modelling and analysis of biochemical networks: mechanism-based models and model-based experiments.
Briefings Bioinform.
Natal A. W. van Riel
2002 — conf
Computational analysis of calcium transients in the intact rat heart; model identification.
CDC
Natal A. W. van Riel, Ger J. van der Vusse