Author

Clarissa Bargellini

University of Washington

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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Bioengineering· 1

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Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Alejandro GonzaloiD· 1 shared Andrew M. KahniD· 1 shared Bahetihazi MaiduiD· 1 shared Elliot R. McVeighiD· 1 shared Francisco J. ContijochiD· 1 shared Javier BermejoiD· 1 shared Juan C. del ÁlamoiD· 1 shared Manuel García‐VillalbaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Alejandro GonzaloORCID

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1 paper

Recent·Most cited

Left atrial flow and thrombosis risk from 4D CT contrast dynamics by physics-informed neural network and indicator dilution theory

Bahetihazi Maidu, Alejandro Gonzalo, Manuel Guerrero‐Hurtado, Clarissa Bargellini, Pablo Martínez‐Legazpi, Javier Bermejo, Francisco J. Contijoch, Óscar Flores, Manuel García‐Villalba, Elliot R. McVeigh, Andrew M. Kahn, Juan C. del Álamo

This paper develops two methods to estimate left atrial blood residence time from 4D CT contrast data, showing that indicator dilution theory provides faster, more accurate results than a physics-informed neural network.

bioRxiv · Apr 3, 2026 · PreprintBioengineering