Author

Kameel Khabaz

University of California, Los AngelesORCID 0000-0002-3164-6133Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Approach:graph neural network· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Luka PocivavsekiD· 2 shared Charlie Davis· 1 shared Joseph A. PugariD· 1 shared Junsung KimiD· 1 shared Nhung NguyeniD· 1 shared Ross MilneriD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBioengineering

Luka PocivavsekORCID

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2 papers

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

𝕏 PostBluesky

BioengineeringComputers in Biology and MedicinePeer-reviewedJun 2, 2024

A Patient-Specific Morphoelastic Growth Model of Aortic Dissection Evolution

Kameel Khabaz, Junsung Kim, Ross Milner…·Luka Pocivavsek

This paper develops a patient-specific morphoelastic growth model to predict aortic dissection progression using CT scans and finite element analysis.

2 citations

humanimaging

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