Author

Gowri Vijay Reesu

University of ManchesterORCID 0000-0002-3164-4170Unclaimed 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:benchmarking· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ahmed M El-AngbawiiD· 1 shared Azad Aziz· 1 shared Brénainn WoodsendiD· 1 shared Eirini Koufoudaki· 1 shared Grant T McIntyreiD· 1 shared Gunvor Semb· 1 shared Peter Anthony MosseyiD· 1 shared Ping LiniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Ahmed M El-AngbawiORCID

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1 paper

Recent·Most cited

Development of intra-oral automated landmark recognition (ALR) for dental and occlusal outcome measurements

Brénainn Woodsend, Eirini Koufoudaki, Ping Lin, Grant T McIntyre, Ahmed M El-Angbawi, Azad Aziz, William C. Shaw, Gunvor Semb, Gowri Vijay Reesu, Peter Anthony Mossey

This paper develops an automated landmark recognition system for dental models using machine learning, achieving 79.7% correct tooth identification with minimal error compared to manual methods.

European Journal of Orthodontics · Mar 15, 2021Peer-reviewedBioinformatics