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

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

J. Kim, M. Lowerison, N. C. Sekaran, Z. Kou, Z. Dong, O. L. Michael, D. A. Llano, 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.

bioRxiv · Oct 5, 2021Bioengineering

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

X. Chen, M. Lowerison, Z. Dong, N. C. Sekaran, C. Huang, S. Chen, T. M. Fan, D. A. Llano, 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.

bioRxiv · Oct 1, 2021Bioengineering