Author

L. Terrill

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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Physiology· 1

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

Frequent Co-Authors

A. Ciacci· 1 shared A. Sau· 1 shared B. Thomas· 1 shared D. J. Hickey· 1 shared F. S. Ng· 1 shared J. A. Coleman· 1 shared J. Zhao· 1 shared K. Christensen· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperPhysiology

A. Ciacci

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1 paper

Recent·Most cited

Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps

M. Falkenberg, J. A. Coleman, S. Dobson, D. J. Hickey, L. Terrill, A. Ciacci, B. Thomas, N. S. Peters, A. Sau, F. S. Ng, J. Zhao, K. Christensen

This paper introduces a computational method to identify atrial regions susceptible to micro-reentry by modeling percolation-like phenomena on spatial networks of atrial fibre maps.

PLOS ONE · Jun 23, 2022Peer-reviewedPhysiology