Author

Sayuri Sekimitsu

Tufts UniversityORCID 0000-0002-6480-8880Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Mengyu WangiD· 1 shared Min Yan ShiiD· 1 shared Mohammad EslamiiD· 1 shared Mojtaba S. FazliiD· 1 shared Nazlee ZebardastiD· 1 shared Saber KazeminasabiD· 1 shared Tobias ElzeiD· 1 shared Yan LuoiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Mengyu WangORCID

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1 paper

Recent·Most cited

An artificial intelligence method for phenotyping of OCT scans using unsupervised and self-supervised deep learning

Saber Kazeminasab, Sayuri Sekimitsu, Mojtaba S. Fazli, Mohammad Eslami, Min Yan Shi, Yu Tian, Yan Luo, Mengyu Wang, Tobias Elze, Nazlee Zebardast

This paper introduces an AI method using unsupervised and self-supervised deep learning to phenotype OCT scans, enabling cross-dataset phenotype transfer in glaucoma.

bioRxiv · Oct 20, 2023 · PreprintBioinformatics