Hemodynamic Data Assimilation is a computational framework that integrates patient-specific measurements with mathematical models of blood flow to optimally refine hemodynamic predictions by reducing uncertainties inherent in model assumptions and observational data.
11
Publications
512
Citations
43
Authors
27
Institutions
Publications per year
2017–2026
5
Parents
Publications
11
Nonlinear Analysis of the BOLD Signal
Zhenghui Hu, Xiaohu Zhao, Huafeng Liu et al. · EURASIP Journal on Advances in Signal Processing · 2009 · 34 citations · Full text
1–5 of 11
Authors
43
- AV
4
h-index
- MD
3
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- FG
2
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- DS
2
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- OS
2
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1–5 of 43
Institutions
27
Emory University
Atlanta, United States
4 h-index
8 publications
344 citations
University College London
London, United Kingdom
2 h-index
4 publications
400 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
2 h-index
12 publications
264 citations
King's College London
London, United Kingdom
2 h-index
4 publications
478 citations
Leibniz Institute for Neurobiology
Magdeburg, Germany
2 h-index
2 publications
44 citations
Great Ormond Street Hospital
London, United Kingdom
1 h-index
2 publications
104 citations
University of West Bohemia in Pilsen
Pilsen, Czechia
1 h-index
1 publications
148 citations
Tongji University
Shanghai, China
1 h-index
1 publications
34 citations
1–8 of 27
Venues
- Medical Image Analysis
1 publications · 148 citations
1
h-index
- Journal of Biomechanics
1 publications · 52 citations
1
h-index
- Journal of Scientific Computing
1 publications · 92 citations
1
h-index
- EURASIP Journal on Advances in Signal Processing
1 publications · 34 citations
1
h-index
- ESAIM Mathematical Modelling and Numerical Analysis
1 publications · 27 citations
1
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1–5