Author

Alessandro Sciarra

Otto-von-Guericke-Universität MagdeburgORCID 0000-0002-7899-8056Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Anja SchneideriD· 1 shared Annika E. SpottkeiD· 1 shared Ayda RostamzadehiD· 1 shared Doreen Göerß· 1 shared Dorothea HämmereriD· 1 shared Emrah DüzeliD· 1 shared Enise Irem IncesoyiD· 1 shared Falk LüsebrinkiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Anja SchneiderORCID

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1 paper

Recent·Most cited

Fully Automated MRI-based Analysis of the Locus Coeruleus in Aging and Alzheimer's Disease Dementia using ELSI-Net

Max Dünnwald, Friedrich Krohn, Alessandro Sciarra, Mousumi Sarkar, Anja Schneider, Klaus Fließbach, Okka Kimmich, Frank Jessen, Ayda Rostamzadeh, Wenzel Glanz, Enise Irem Incesoy, Stefan Johannes Teipel, Ingo Kilimann, Doreen Göerß, Annika E. Spottke, , Matthew J. Betts

This paper introduces ELSI-Net, a deep learning method for automated Locus Coeruleus segmentation and feature extraction in aging and Alzheimer's Disease dementia, showing high agreement with manual ratings and correlations to CSF biomarkers.

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · Apr 1, 2025Peer-reviewedBioinformatics