Author

N. C. Sekaran

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· 2

Signature Assays, Organisms & Methods

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Organism:chicken / avian· 2 Assay:imaging· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:imputation· 1

Frequent Co-Authors

D. A. Llano· 2 shared M. Lowerison· 2 shared P. Song· 2 shared Z. Dong· 2 shared C. Huang· 1 shared J. Kim· 1 shared O. L. Michael· 1 shared S. Chen· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioengineering

D. A. Llano

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2 papers

Recent·Most cited

BioengineeringbioRxivOct 5, 2021

Improved Ultrasound Localization Microscopy based on Microbubble Uncoupling via Transmit Excitation (MUTE)

J. Kim, M. Lowerison, N. C. Sekaran…·P. Song

This paper introduces MUTE-ULM, a technique that improves ultrasound localization microscopy by reducing data acquisition time through enhanced microbubble separation and localization.

DOI 10.1109/tuffc.2022.3143864

chicken / avianmouse

𝕏 PostBluesky

BioengineeringbioRxivOct 1, 2021

Localization free super-resolution microbubble velocimetry using a long short-term memory neural network

X. Chen, M. Lowerison, Z. Dong…·P. Song

This paper introduces Deep-SMV, a deep learning-based method for super-resolution microbubble velocimetry that directly outputs blood velocity maps without requiring microbubble localization.

DOI 10.1109/tmi.2023.3251197

chicken / avianmouse

𝕏 PostBluesky