Author

Konstantinos Poulakis

Karolinska InstitutetORCID 0000-0002-6600-8086Unclaimed 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

Frequent Co-Authors

Daniel FerreiraiD· 1 shared Eric WestmaniD· 1 shared Joana B. PereiraiD· 1 shared Örjan SmedbyiD· 1 shared Prashanthi VemuriiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Daniel FerreiraORCID

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1 paper

Recent·Most cited

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

Konstantinos Poulakis, Daniel Ferreira, Joana B. Pereira, Örjan Smedby, Prashanthi Vemuri, 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.

Aging · Jul 9, 2020Peer-reviewedNeuroscience