Author

Arvydas Laurinavičius

Vilnius UniversityORCID 0000-0001-9232-1730Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Hrafn WeishauptiD· 2 shared Justinas BesusparisiD· 2 shared Sabine Maria LehiD· 2 shared Cleo‐Aron WeisiD· 1 shared Maya Maya Barbosa Silva· 1 shared Štefan PorubskýiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersPathology

Hrafn WeishauptORCID

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2 papers

Recent·Most cited

GlomExtractor: a versatile tool for extracting glomerular patches from whole slide kidney biopsy images

Maya Maya Barbosa Silva, Justinas Besusparis, Arvydas Laurinavičius, Sabine Maria Leh, Hrafn Weishaupt

This paper introduces GlomExtractor, a tool for extracting glomerular patches from kidney biopsy images, and shows how processing strategies affect machine learning performance.

Diagnostic Pathology · Aug 8, 2026Peer-reviewedPathology

Unsupervised learning for labeling global glomerulosclerosis

Hrafn Weishaupt, Justinas Besusparis, Cleo‐Aron Weis, Štefan Porubský, Arvydas Laurinavičius, Sabine Maria Leh

The paper investigates the feasibility of unsupervised clustering for classifying globally sclerosed versus non-globally sclerosed glomeruli using pre-trained CNN models, achieving over 95% accuracy in most datasets.

Computers in Biology and Medicine · Aug 1, 2025Peer-reviewedPathology