Author

Z. Dawood

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

A. Hatzimemos· 1 shared A. Tsirigos· 1 shared D. Donnelly· 1 shared D. Fenyo· 1 shared E. Esteva· 1 shared G. Jour· 1 shared I. Aifantis· 1 shared I. Osman· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPathology

A. Hatzimemos

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

A Deep Learning Approach for Rapid Mutational Screening in Melanoma

R. Kim, S. Nomikou, N. Coudray, G. Jour, Z. Dawood, R. Hong, E. Esteva, T. Sakellaropoulos, D. Donnelly, U. Moran, A. Hatzimemos, J. S. Weber, N. Razavian, I. Aifantis, D. Fenyo, , A. Tsirigos

This paper develops a deep learning model to detect BRAF mutations in melanoma histopathology images using whole slide images from 256 patients, achieving AUC scores of 0.96 and 0.72.

bioRxiv · Aug 19, 2020 · PreprintPathology