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Nonlinear Mixed-Effects Models for PET Data
OBJECTIVE: The current state of the art for compartment modeling of dynamic PET data can be described as a two-stage approach. In Stage 1, individual estimates of kinetic parameters are obtained by fitting models using standard techniques, such as nonlinear least squares (NLS), to each individual’s...
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| Gepubliceerd in: | IEEE Trans Biomed Eng |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6436945/ https://ncbi.nlm.nih.gov/pubmed/30072311 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2018.2861875 |
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