Personalized Physiological Modeling
Personalized Physiological Modeling is a computational or mathematical framework that belongs to the broader class of physiological models, distinguished by its explicit integration of individual-specific data to capture subject-unique functional, structural, and dynamic characteristics in multiscale biological systems.
19
Publications
517
Citations
87
Authors
50
Institutions
Publications per year
2017–2026
15
Variants
Patient-specific Physiological Modeling
19
Dominique Chapelle, Marc Fragu, Vivien Mallet et al. · Medical & Biological Engineering & Computing · 2012 · 45 citations
Suppawong Tuarob, Conrad S. Tucker, Soundar Kumara et al. · Journal of Biomedical Informatics · 2017 · 43 citations · Full text
HRTF personalization modeling based on RBF neural network
Lin Li, Qinghua Huang · 2013 · 40 citations
Wouter Huberts, Wouter P. Donders, Tammo Delhaas et al. · International Journal for Numerical Methods in Biomedical Engineering · 2014 · 39 citations · Full text
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50
Maastricht University
Maastricht, The Netherlands
3 h-index
8 publications
212 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
3 publications
97 citations
Columbia University
New York, United States
2 h-index
1 publications
24 citations

Johns Hopkins University
Baltimore, United States
2 h-index
6 publications
120 citations
Wageningen University & Research
Wageningen, The Netherlands
2 h-index
1 publications
19 citations
ETH Zurich
Zurich, Switzerland
2 h-index
3 publications
46 citations

University of Padua
Padua, Italy
2 h-index
7 publications
301 citations

University of Tübingen
Tübingen, Germany
1 h-index
4 publications
108 citations
1–8 of 50
Repository · 1 publications · 14 citations
2
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2 publications · 46 citations
2
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1 publications · 28 citations
2
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1 publications · 19 citations
1
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PSP · 1 publications · 27 citations
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