Author

Daniel Ferreira

Karolinska InstitutetORCID 0000-0001-9522-4338Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:clustering· 1 Organism:human· 1 Assay:imaging· 1

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Eric WestmaniD· 1 shared Joana B. PereiraiD· 1 shared Konstantinos PoulakisiD· 1 shared Örjan SmedbyiD· 1 shared Prashanthi VemuriiD· 1 shared

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2020-2020 · peak 1/yr

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1 shared paperNeuroscience

Eric WestmanORCID

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1 paper

Recent·Most cited

NeuroscienceAgingPeer-reviewedJul 9, 2020

Fully Bayesian longitudinal unsupervised learning for the assessment and visualization of AD heterogeneity and progression

Konstantinos Poulakis, Daniel Ferreira, Joana B. Pereira…·Eric Westman

The paper develops a Bayesian longitudinal clustering framework to identify distinct AD brain atrophy patterns and their progression, revealing heterogeneity in disease progression.

20 citations

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