Author

Lou T. Chitkushev

Boston UniversityORCID 0000-0002-9365-8818Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Guanglan ZhangiD· 2 shared Derin B. KeskiniD· 1 shared Huan JiniD· 1 shared Jiahui ZhongiD· 1 shared Khaled Seidi· 1 shared Minjie LyuiD· 1 shared Mohammad Hadi GharibiD· 1 shared Mohammad HaeriiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersPathology

Guanglan ZhangORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

PathologybioRxivPreprintJan 23, 2024

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

Tahereh Javaheri, Samar Heidari, Xu Yang…·Reza 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.

2 citations

humanimaging

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BioinformaticsbioRxivPreprintJul 29, 2021

Artificial Neural Networks for classification of single cell gene expression

Jiahui Zhong, Minjie Lyu, Huan Jin…·Vladimir Brusić

This paper develops a supervised ANN model to classify PBMC subtypes across multiple studies, achieving 94% 5-class accuracy with high consistency across protocols.

2 citations

humanscRNA-seq

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