Author

L. K. Cheng

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:rat· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

P. Du· 2 shared A. Gharibans· 1 shared C. Andrews· 1 shared G. O'Grady· 1 shared J. B. Furness· 1 shared J. Cao· 1 shared J. Erickson· 1 shared K. Han· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersPhysiology

P. Du

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2 papers

Recent·Most cited

Surface-based Characterization of Gastric Anatomy and Motility using Magnetic Resonance Imaging and Neural Ordinary Differential Equation

X. Wang, J. Cao, K. Han, M. Choi, Y. She, U. Scheven, R. Avci, P. Du, L. K. Cheng, M. R. D. Natale, J. B. Furness, Z. Liu

This paper introduces a method using MRI and neural ODEs to model gastric motility and anatomy in rats, revealing functional regions and muscle activity patterns.

bioRxiv · Oct 17, 2022 · PreprintPhysiology

Validation of non-invasive body-surface gastric mapping for detecting electrophysiological biomarkers by simultaneous high-resolution serosal mapping in a porcine model

S. Calder, L. K. Cheng, C. Andrews, N. Paskaranandavadivel, S. Waite, S. Alighaleh, J. Erickson, A. Gharibans, G. O'Grady, P. Du

This study validates body-surface gastric mapping as a reliable non-invasive method for detecting gastric slow wave frequency and propagation direction using simultaneous serosal recordings in a porcine model.

bioRxiv · Aug 1, 2021 · PreprintPhysiology