Author

Örjan Smedby

KTH Royal Institute of TechnologyORCID 0000-0002-7750-1917Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Organism:human· 1 Organism:rat· 1 Approach:statistical model· 1

Frequent Co-Authors

Eric WestmaniD· 2 shared Chunliang WangiD· 1 shared Daniel FerreiraiD· 1 shared Diana CashiD· 1 shared Eilidh MacNicoliD· 1 shared Eugene KimiD· 1 shared Federico TurkheimeriD· 1 shared Irene BrusiniiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersNeuroscience

Eric WestmanORCID

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2 papers

Recent·Most cited

NeuroscienceNeurobiology of AgingPeer-reviewedOct 15, 2021

MRI-derived brain age as a biomarker of ageing in rats: validation using a healthy lifestyle intervention

Irene Brusini, Eilidh MacNicol, Eugene Kim…·Diana Cash

The paper develops a rat brain age prediction algorithm using MRI and validates it through a healthy lifestyle intervention, showing reduced brain ageing with environmental enrichment and dietary restriction.

17 citations

ratimaging

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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

humanimaging

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