Author

M. A. Iida

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 Organism:human· 2 Assay:imaging· 2 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

A. C. McKee· 2 shared C. L. White· 2 shared G. Marx· 2 shared J. F. Crary· 2 shared J. M. Walker· 2 shared K. Farrell· 2 shared T. D. Stein· 2 shared T. E. Richardson· 2 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersPathology

A. C. McKee

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2 papers

Recent·Most cited

Interpretable deep learning of myelin histopathology in age-related cognitive impairment

A. T. McKenzie, G. Marx, D. Koenigsberg, M. Sawyer, M. A. Iida, J. M. Walker, T. E. Richardson, G. Campanella, J. Attems, A. C. McKee, T. D. Stein, T. J. Fuchs, C. L. White, The PART Working Group, K. Farrell, J. F. Crary

This study uses interpretable deep learning to identify myelin pallor in brain tissue associated with cognitive impairment from postmortem human samples.

bioRxiv · Jun 6, 2022Pathology

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

M. A. Iida, K. Farrell, J. M. Walker, T. E. Richardson, G. Marx, C. H. Bryce, D. Purohit, G. Ayalon, T. G. Beach, E. H. Bigio, E. Cortes, M. Gearing, V. Haroutunian, C. T. McMillan, E. B. Lee, , 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.

bioRxiv · Jun 8, 2021 · PreprintPathology