Author

A. Tiulpin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. A. Kalinin· 1 shared A. A. Shvets· 1 shared A. Joukainen· 1 shared A. Rakhlin· 1 shared H. J. Nieminen· 1 shared H. Kröger· 1 shared J. Leino· 1 shared K. P. H. Pritzker· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPathology

A. A. Kalinin

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2 papers

Recent·Most cited

Breast Tumor Cellularity Assessment using Deep Neural Networks

A. Rakhlin, A. Tiulpin, A. A. Shvets, A. A. Kalinin, V. I. Iglovikov, S. Nikolenko

This paper evaluates deep learning methods for automated tumor cellularity assessment in breast cancer histopathology, achieving higher accuracy than previous manual methods.

bioRxiv · Aug 30, 2019 · PreprintPathology

Automating three-dimensional osteoarthritis histopathological grading of human osteochondral tissue using machine learning on contrast-enhanced micro-computed tomography

S. J. O. Rytky, A. Tiulpin, T. Frondelius, M. A. J. Finnilä, S. S. Karhula, J. Leino, K. P. H. Pritzker, M. Valkealahti, P. Lehenkari, A. Joukainen, H. Kröger, H. J. Nieminen, S. Saarakkala

This paper develops a machine learning method to automatically grade osteoarthritis in 3D CECT images of osteochondral tissue, achieving high accuracy in surface zones.

bioRxiv · Jul 26, 2019Bioengineering