Author

G. Rees

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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Pathology· 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

A. Aberdeen· 1 shared A. Mead· 1 shared B. Psaila· 1 shared D. Royston· 1 shared G. Turner· 1 shared H. Theissen· 1 shared J. Rittscher· 1 shared K. Sirinukunwattana· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperPathology

A. Aberdeen

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1 paper

Recent·Most cited

Improving the diagnosis and classification of Ph-negative myeloproliferative neoplasms through deep phenotyping

K. Sirinukunwattana, A. Aberdeen, H. Theissen, N. Sousos, B. Psaila, A. Mead, G. Turner, G. Rees, J. Rittscher, D. Royston

This paper develops a machine-learning approach to automate megakaryocyte morphology analysis in bone marrow trephine samples to improve diagnosis of Ph-negative myeloproliferative neoplasms.

bioRxiv · Sep 11, 2019 · PreprintPathology