Author

G. Sapiro

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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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. R. Tannenbaum· 1 shared B. R. Wesorick· 1 shared C. M. Reese· 1 shared C. N. Kelly· 1 shared J. M. Di Martino· 1 shared K. Gall· 1 shared N. Martinez· 1 shared S. B. Adams· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioengineering

A. R. Tannenbaum

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Author profile →

2 papers

Recent·Most cited

Computational and Image Processing Methods for Analysis and Automation of Anatomical Alignment and Joint Spacing in Reconstructive Surgery

U. N. Chaudhary, C. N. Kelly, B. R. Wesorick, C. M. Reese, K. Gall, S. B. Adams, G. Sapiro, J. M. Di Martino

The paper develops algorithms for automatic anatomical alignment in reconstructive surgery, reducing misalignment errors in clinical data.

bioRxiv · Apr 4, 2021Bioengineering

ImPartial: Partial Annotations for Cell Instance Segmentation

N. Martinez, G. Sapiro, A. R. Tannenbaum, T. J. Hollmann, S. Nadeem

ImPartial improves cell instance segmentation in noisy multiplex spatial images using partial annotations and self-supervised imputation, showing effectiveness on cancer datasets.

bioRxiv · Jan 20, 2021 · PreprintBioengineering