Natal A. W. van Riel

According to our database, Natal A. W. van Riel authored at least 22 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Does GLP-1 cause post-bariatric hypoglycemia: 'Computer says no'.

Ysanne M. Pasveer, Ömrüm Aydin, Albert K. Groen, Abraham S. Meijnikman, Max Nieuwdorp, Victor E. A. Gerdes, Natal A. W. van Riel

Comput. Methods Programs Biomed., 2024

Reproducing and Improving One-Dimensional Convolutional Neural Networks for Arterial Blood Pressure-Based Cardiac Output Estimation.

Roy R. M. Van Mierlo, R. Arthur Bouwman, Natal A. W. van Riel

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

An Interpretability-Driven Fuzzy Modeling Methodology for Personalized Meal Detection.

Danilo Ferreira de Carvalho, Uzay Kaymak, Pieter Van Gorp, Natal A. W. van Riel

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

2023

Data-driven meal events detection using blood glucose response patterns.

Danilo Ferreira de Carvalho, Uzay Kaymak, Pieter Van Gorp, Natal A. W. van Riel

BMC Medical Informatics Decis. Mak., December, 2023

Machine Learning for Postoperative Continuous Recovery Scores of Oncology Patients in Perioperative Care with Data from Wearables.

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

Sensors, 2023

Parameter Estimation Of A Physiological Diabetes Model Using Neural Networks.

Ana Moreira, Maren Philipps, Natal A. W. van Riel

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022

Population and Individual Level Meal Response Patterns in Continuous Glucose Data.

Danilo Ferreira de Carvalho, Uzay Kaymak, Pieter Van Gorp, Natal A. W. van Riel

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

2021

Personalized computational model quantifies heterogeneity in postprandial responses to oral glucose challenge.

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

PLoS Comput. Biol., 2021

2020

A Distance-Based Framework for the Characterization of Metabolic Heterogeneity in Large Sets of Genome-Scale Metabolic Models.

Andrea Cabbia, Peter A. J. Hilbers, Natal A. W. van Riel

Patterns, 2020

2019

Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis.

Dragan Bosnacki, Natal A. W. van Riel, Mitko Veta

Proceedings of the Automated Reasoning for Systems Biology and Medicine, 2019

A computational model of postprandial adipose tissue lipid metabolism derived using human arteriovenous stable isotope tracer data.

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

PLoS Comput. Biol., 2019

Computational modelling of energy balance in individuals with Metabolic Syndrome.

Yvonne J. W. Rozendaal, Yanan Wang, Peter A. J. Hilbers, Natal A. W. van Riel

BMC Syst. Biol., 2019

2018

In vivo and in silico dynamics of the development of Metabolic Syndrome.

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

PLoS Comput. Biol., 2018

2014

A Computational Model for the Analysis of Lipoprotein Distributions in the Mouse: Translating FPLC Profiles to Lipoprotein Metabolism.

Fianne L. P. Sips, Christian A. Tiemann, Maaike H. Oosterveer, Albert K. Groen, Peter A. J. Hilbers, Natal A. W. van Riel

PLoS Comput. Biol., 2014

Optimal experiment design for model selection in biochemical networks.

Joep Vanlier, Christian A. Tiemann, Peter A. J. Hilbers, Natal A. W. van Riel

BMC Syst. Biol., 2014

2013

Parameter Trajectory Analysis to Identify Treatment Effects of Pharmacological Interventions.

Christian A. Tiemann, Joep Vanlier, Maaike H. Oosterveer, Albert K. Groen, Peter A. J. Hilbers, Natal A. W. van Riel

PLoS Comput. Biol., 2013

2012

A Bayesian approach to targeted experiment design.

Joep Vanlier, Christian A. Tiemann, Peter A. J. Hilbers, Natal A. W. van Riel

Bioinform., 2012

An integrated strategy for prediction uncertainty analysis.

Joep Vanlier, Christian A. Tiemann, Peter A. J. Hilbers, Natal A. W. van Riel

Bioinform., 2012

2011

Parameter adaptations during phenotype transitions in progressive diseases.

Christian A. Tiemann, Joep Vanlier, Peter A. J. Hilbers, Natal A. W. van Riel

BMC Syst. Biol., 2011

2007

Qualitative Analysis of Nonlinear Biochemical Networks with Piecewise-Affine Functions.

M. W. J. M. Musters, Hidde de Jong, P. P. J. van den Bosch, Natal A. W. van Riel

Proceedings of the Hybrid Systems: Computation and Control, 10th International Workshop, 2007

2006

Dynamic modelling and analysis of biochemical networks: mechanism-based models and model-based experiments.

Natal A. W. van Riel

Briefings Bioinform., 2006

2002

Computational analysis of calcium transients in the intact rat heart; model identification.

Natal A. W. van Riel, Ger J. van der Vusse

Proceedings of the 41st IEEE Conference on Decision and Control, 2002