Author

Joseph A. Pugar

University of ChicagoORCID 0000-0003-3295-5664Unclaimed 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· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Charlie Davis· 1 shared Kameel KhabaziD· 1 shared Luka PocivavsekiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioengineering

Charlie Davis

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintMay 12, 2026

Predicting curvature evolution on biological surfaces from clinical imaging-derived area dilation: a closed-form interpretable framework

Kameel Khabaz, Charlie Davis, Joseph A. Pugar, Luka Pocivavsek

The paper develops a closed-form equation to predict curvature changes in thoracic aortas from CT scans, showing strong performance on synthetic and clinical data.

DOI 10.64898/2026.05.08.723930

humanimaging

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