Author

H. Theissen

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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. Rees· 1 shared G. Turner· 1 shared J. Rittscher· 1 shared K. Sirinukunwattana· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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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

PathologybioRxivPreprintSep 11, 2019

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

K. Sirinukunwattana, A. Aberdeen, H. Theissen…·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.

DOI 10.1101/762013

humanimaging

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