Author

L.-W. Jin

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 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

B. N. Dugger· 1 shared C. DeCarli· 1 shared K. V. Chuang· 1 shared L. Beckett· 1 shared M. J. Keiser· 1 shared Z. Tang· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperPathology

B. N. Dugger

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1 paper

Recent·Most cited

Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline

Z. Tang, K. V. Chuang, C. DeCarli, L.-W. Jin, L. Beckett, M. J. Keiser, B. N. Dugger

This paper develops a deep learning pipeline to classify Alzheimer’s disease pathologies, achieving high accuracy in detecting amyloid plaques and cerebral amyloid angiopathy from histological slides.

bioRxiv · Mar 11, 2019Pathology