Author

M. Shingde

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

B. Murphy· 1 shared C. Wei· 1 shared C. Xi· 1 shared F. Salem· 1 shared F. Su· 1 shared G. Wong· 1 shared I. A. Rosales· 1 shared K. Banu· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPathology

B. Murphy

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

PathologybioRxivApr 18, 2021

Deep learning identifies pathological abnormalities predictive of graft loss in kidney transplant biopsies

Z. Yi, F. Salem, M. C. Menon…·W. Zhang

This paper develops a deep learning model to quantify pathological features in kidney transplant biopsies, showing improved prediction of graft loss compared to clinical and Banff scores.

DOI 10.1016/j.kint.2021.09.028

humanimaging

𝕏 PostBluesky