Author

Muh Geot Wong

The University of SydneyORCID 0000-0002-7575-9877Unclaimed 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:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Abbas HabibalahiiD· 1 shared Angela S. Y. ChouiD· 1 shared Anthony James GilliD· 1 shared Ayad G. AnweriD· 1 shared Carol A. PollockiD· 1 shared Ewa Magdalena GoldysiD· 1 shared Jared M. CampbelliD· 1 shared Long The NguyeniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Abbas HabibalahiORCID

Mutual co-authors in cluster

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1 paper

Recent·Most cited

moRphology - dEep Learning Imaging Cells (RELIC) - to Differentiate Between Normal and Pathological Kidney Exfoliated Cells

Abbas Habibalahi, Jared M. Campbell, Saabah B. Mahbub, Ayad G. Anwer, Long The Nguyen, Anthony James Gill, Muh Geot Wong, Angela S. Y. Chou, Carol A. Pollock, Sonia Saad, Ewa Magdalena Goldys

This paper develops a deep learning method called RELIC to differentiate between normal and pathological kidney exfoliated cells using urine samples with 82% accuracy.

bioRxiv · Apr 19, 2022 · PreprintBioinformatics