Author

K. Seidi

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

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

G. Zhang· 1 shared L. Chitkushev· 1 shared M. H. Gharib· 1 shared M. Haeri· 1 shared N. Zarrin-Khameh· 1 shared P. Castro· 1 shared R. Rawassizadeh· 1 shared S. Heidari· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

G. Zhang

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1 paper

Recent·Most cited

XKidneyOnco: An Explainable Framework to Classify Renal Oncocytoma and Chromophobe Renal Cell Carcinoma with a Small Sample Size

T. Javaheri, S. Heidari, X. Yang, S. Yerra, K. Seidi, T. Setayesh, G. Zhang, L. Chitkushev, S. S. Salar, Z. Sayeeduddin, N. Zarrin-Khameh, M. H. Gharib, P. Castro, M. Haeri, R. Rawassizadeh

This study introduces an explainable AI framework to differentiate renal oncocytoma from chromophobe renal cell carcinoma with high accuracy, outperforming human experts in some metrics.

bioRxiv · Jan 23, 2024 · PreprintPathology