Author

Jayashree Kalpathy–Cramer

Harvard UniversityORCID 0000-0001-8906-9618Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Albert Eusik KimiD· 1 shared Alekhya Gunturi· 1 shared Ali BrowniD· 1 shared Bruce Robert RoseniD· 1 shared Christophe Millien· 1 shared Christopher P. BridgeiD· 1 shared Christopher T NguyeniD· 1 shared Ciprian CatanaiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

Albert Eusik KimORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintAug 27, 2025

ESPWA: a deep learning tool to inform precision-based use of endocrine therapy in resource-limited settings

Dagoberto Pulido-Arias, Rebecca Rose Henderson, Milit Patel…·Albert Eusik Kim

ESPWA is a deep learning tool developed to improve endocrine therapy precision in low-resource settings by accurately predicting ER status from H&E slides in Haitian patients.

DOI 10.1101/2025.08.27.672012

humanimaging

𝕏 PostBluesky

BioinformaticsFrontiers in Cardiovascular MedicinePeer-reviewedSep 3, 2021

DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics

Manuel A. Morales, Maaike van den Boomen, Christopher T Nguyen…·Ciprian Catana

This paper develops a deep learning workflow to automatically analyze cardiac mechanics from cine-MRI data, showing high accuracy and reliability in strain and strain rate measurements.

51 citationstop 3%

humanimaging

𝕏 PostBluesky