Author

J. K. Kofler

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

C. L. White· 2 shared A. C. McKee· 1 shared A. J. Butte· 1 shared B. N. Dugger· 1 shared C. H. Bryce· 1 shared C. T. McMillan· 1 shared D. Dickson· 1 shared D. Purohit· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersPathology

C. L. White

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2 papers

Recent·Most cited

PathologybioRxivPreprintJun 8, 2021

Predictors of cognitive impairment in primary age-related tauopathy: an autopsy study

M. A. Iida, K. Farrell, J. M. Walker…·J. F. Crary

This study identifies predictors of cognitive impairment in primary age-related tauopathy (PART) using autopsy data, finding that p-tau burden and cerebrovascular disease are significant predictors.

DOI 10.1101/2021.06.08.447553

humanimaging

𝕏 PostBluesky

PathologybioRxivMar 12, 2021

Deep learning from multiple experts improves identification of amyloid neuropathologies

D. R. Wong, Z. Tang, N. C. Mew…·M. J. Keiser

The paper develops a deep learning model that combines multiple expert annotations to improve the identification of amyloid neuropathologies, achieving consistent diagnoses across varying expert opinions.

DOI 10.1186/s40478-022-01365-0

imagingdeep learning

𝕏 PostBluesky