Author

Santeri J. O. Rytky

University of OuluORCID 0000-0002-9237-1356Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Organism:human· 1 Organism:rat· 1

Frequent Co-Authors

Aleksei TiulpiniD· 2 shared Mikko FinniläiD· 2 shared Rami Kristian KorhoneniD· 2 shared Simo S. SaarakkalaiD· 2 shared Annina SipolaiD· 1 shared Antti JoukaineniD· 1 shared Egor PanfiloviD· 1 shared Heikki KrögeriD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Aleksei TiulpinORCID

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2 papers

Recent·Most cited

Clinical super-resolution computed tomography of bone microstructure: application in musculoskeletal and dental imaging

Santeri J. O. Rytky, Aleksei Tiulpin, Mikko Finnilä, Sakari S. Karhula, Annina Sipola, Väinö Kurttila, Maarit Valkealahti, Petri P Lehenkari, Antti Joukainen, Heikki Kröger, Rami Kristian Korhonen, Simo S. Saarakkala, Jaakko L. Niinimäki

This paper develops a deep learning-based super-resolution method to enhance clinical CT image resolution for musculoskeletal and dental imaging, showing improved microstructural detail but with some artifacts and grayscale distribution changes.

Annals of Biomedical Engineering · Feb 15, 2024Peer-reviewedBioinformatics

Automated analysis of rabbit knee calcified cartilage morphology using micro-computed tomography and deep learning segmentation

Santeri J. O. Rytky, Lingwei Huang, Petri Tanska, Aleksei Tiulpin, Egor Panfilov, Walter Herzog, Rami Kristian Korhonen, Simo S. Saarakkala, Mikko Finnilä

The paper develops a deep learning segmentation method for analyzing calcified cartilage thickness using micro-CT and compares it to histology across rabbit knee regions.

Journal of Anatomy · Mar 29, 2021Peer-reviewedBioinformatics