Author

K. Stoltz

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

G. Thibault· 2 shared J. L. Riesterer· 2 shared J. W. Gray· 2 shared A. Machireddy· 1 shared C. E. Bueno· 1 shared C. Lanicault· 1 shared C. S. Lopez· 1 shared E. S. Stempinski· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

G. Thibault

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2 papers

Recent·Most cited

Robust Segmentation of Cellular Ultrastructure on Sparsely Labeled 3D Electron Microscopy Images using Deep Learning

A. Machireddy, G. Thibault, K. G. Loftis, K. Stoltz, C. E. Bueno, H. R. Smith, J. L. Riesterer, J. W. Gray, X. Song

This paper develops a deep learning method to segment cellular ultrastructures in 3D EM images, achieving high accuracy for nuclei and nucleoli in cancer biopsies.

bioRxiv · May 27, 2021Cancer Biology

A workflow for visualizing human cancer biopsies using large-format electron microscopy

J. L. Riesterer, C. S. Lopez, E. S. Stempinski, M. Williams, K. Loftis, K. Stoltz, G. Thibault, C. Lanicault, T. Williams, J. W. Gray

This paper describes a workflow for 2D and 3D imaging of human cancer biopsies using electron microscopy to reveal ultrastructural details not visible with conventional 2D EM.

bioRxiv · Jun 19, 2019 · PreprintCancer Biology