Author

Michelle Livne

Berlin Institute of Health at Charité - Universitätsmedizin BerlinORCID 0000-0002-8277-4733Unclaimed 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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Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:imaging· 1 Research Focus:imputation· 1

Frequent Co-Authors

Jochen B. FiebachiD· 2 shared Ahmed A. KhaliliD· 1 shared Arno VillringeriD· 1 shared Daniel Margulies· 1 shared Dietmar FreyiD· 1 shared Dr. rer. medic. Dipl.-Ing.(FH)· 1 shared Evgeniya P. KirilinaiD· 1 shared Ivana GalinovićiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Jochen B. FiebachORCID

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2 papers

Recent·Most cited

A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI data

Jiun‐Yiing Hu, Evgeniya P. Kirilina, Till Nierhaus, Dr. rer. medic. Dipl.-Ing.(FH), Smadar Ovadia‐Caro, Michelle Livne, Kersten Villringer, Daniel Margulies, Jochen B. Fiebach, Arno Villringer, Ahmed A. Khalil

This paper introduces a method to assess hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI data, identifying hypoperfusion components that correlate with delayed perfusion and reperfusion.

Human Brain Mapping · Jul 29, 2021Peer-reviewedNeuroscience

A framework for testing different imputation methods for tabular datasets

Tabea Kossen, Michelle Livne, Vince I. Madai, Ivana Galinović, Dietmar Frey, Jochen B. Fiebach

The paper develops a framework to test imputation methods on a clinical stroke dataset and finds that listwise deletion performs poorly, while the best method depends on the missing data mechanism.

bioRxiv · Sep 17, 2019 · PreprintNeuroscience