Computational analysis of calcium transients in the intact rat heart; model identification. - Natal A. W. van Riel; Ger J. van der Vusse (CDC, 2002)

Dynamic modelling and analysis of biochemical networks: mechanism-based models and model-based experiments. - Natal A. W. van Riel (Briefings Bioinform., 2006)

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 (HSCC, 2007)

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)

An integrated strategy for prediction uncertainty analysis. - Joep Vanlier; Christian A. Tiemann; Peter A. J. Hilbers; Natal A. W. van Riel (Bioinform., 2012)

A Bayesian approach to targeted experiment design. - Joep Vanlier; Christian A. Tiemann; Peter A. J. Hilbers; Natal A. W. van Riel (Bioinform., 2012)

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)

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)

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)

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)

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)

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)

Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis. - Dragan Bosnacki; Natal A. W. van Riel; Mitko Veta (Automated Reasoning for Systems Biology and Medicine, 2019)

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)

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)

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 (IPMU (2), 2022)

Parameter Estimation Of A Physiological Diabetes Model Using Neural Networks. - Ana Moreira; Maren Philipps; Natal A. W. van Riel (CIBCB, 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)

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., 2023)

An Interpretability-Driven Fuzzy Modeling Methodology for Personalized Meal Detection. - Danilo Ferreira de Carvalho; Uzay Kaymak; Pieter Van Gorp; Natal A. W. van Riel (FUZZ, 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 (MeMeA, 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)

Physiology-informed regularisation enables training of universal differential equation systems for biological applications. - Max de Rooij; Balázs Erdos; Natal A. W. van Riel; Shauna D. O'Donovan (PLoS Comput. Biol., 2025)