Author

Hala Faragalla

St. Michael's Hospital

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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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

Abishika SivanandarajahiD· 1 shared April KhademiiD· 1 shared Dimitrios AndroutsosiD· 1 shared Emily Rita Brouwer· 1 shared Geoffrey A. WoodiD· 1 shared Rokshana Stephny GereadiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Abishika SivanandarajahORCID

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1 paper

Recent·Most cited

piNET: An Automated Proliferation Index Calculator Framework for Ki67 Breast Cancer Images

Rokshana Stephny Geread, Abishika Sivanandarajah, Emily Rita Brouwer, Geoffrey A. Wood, Dimitrios Androutsos, Hala Faragalla, April Khademi

piNET is a deep learning framework for Ki67 proliferation index calculation in breast cancer images, achieving high accuracy and correlation across diverse datasets.

Cancers · Dec 22, 2020Peer-reviewedBioinformatics