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Robust Bayesian Analysis of Early-Stage Parkinson’s Disease Progression Using DaTscan Images
This paper proposes a mixture of linear dynamical systems model for quantifying the heterogeneous progress of Parkinson’s disease from DaTscan Images. The model is fitted to longitudinal DaTscans from the Parkinson’s Progression Marker Initiative. Fitting is accomplished using robust Bayesian infere...
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| Vydáno v: | IEEE Trans Med Imaging |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7899013/ https://ncbi.nlm.nih.gov/pubmed/33055025 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2020.3031478 |
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