Author

D. Linsley

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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Cell Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

T. Serre· 2 shared A. Javaherian· 1 shared D. Saeed-Vafa· 1 shared F. Khalil· 1 shared G. Ryan· 1 shared H. L. McLeod· 1 shared J. Kalra· 1 shared J. Lamstein· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersPathology

T. Serre

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Author profile →

2 papers

Recent·Most cited

Deceptive learning in histopathology

S. Shahamatdar, D. Saeed-Vafa, D. Linsley, F. Khalil, K. L. Lovinger, L. Li, H. L. McLeod, S. Ramachandran, T. Serre

This paper analyzes whether deep learning models in histopathology learn trustworthy or deceptive strategies, finding that some recent advances in molecular profiling from H&E slides are unreliable.

bioRxiv · Apr 21, 2022Pathology

Super-human cell death detection with biomarker-optimized neural networks

J. W. Linsley, D. Linsley, J. Lamstein, G. Ryan, K. Shah, N. A. Castello, V. Oza, J. Kalra, S. Wang, Z. Tokuno, A. Javaherian, T. Serre, S. Finkbeiner

This paper introduces BO-CNN, a neural network that detects cell death in live microscopy with 96% accuracy, faster than previous methods and without requiring stains or dyes.

bioRxiv · Aug 4, 2020 · PreprintCell Biology