Author

Hortense Le

Columbia UniversityPrimary ORCID profile (0000-0001-6681-7652 · 6 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Hortense LeiD6 papers · New York University

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:multiome· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew F. LaineiD· 1 shared David J. MaiD· 1 shared Douglas L. RothmaniD· 1 shared Jeffery A. Lieberman· 1 shared Jia GuoiD· 1 shared Scott A. SmalliD· 1 shared Yuming Ye· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Andrew F. LaineORCID

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1 paper

Recent·Most cited

Magnetic Resonance Spectroscopy Frequency and Phase Correction Using Convolutional Neural Networks

David J. Ma, Hortense Le, Yuming Ye, Andrew F. Laine, Jeffery A. Lieberman, Douglas L. Rothman, Scott A. Small, Jia Guo

This paper introduces DeepSPEC, a CNN-based method for frequency-and-phase correction of MRS data, showing improved accuracy and robustness to noise compared to MLP and mSR methods.

Magnetic Resonance in Medicine · Dec 21, 2021Peer-reviewedNeuroscience