Author

Noboru Usuda

Tokyo Metropolitan Institute of Medical ScienceORCID 0009-0002-1585-1863Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Haruhiko KishimaiD· 1 shared Hikaru YokoyamaiD· 1 shared Khoo Hui Ming· 1 shared Kimitaka NakazawaiD· 1 shared Naoki TaniiD· 1 shared Natsuko Kaneko· 1 shared Ryohei FukumaiD· 1 shared Satoru OshinoiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Haruhiko KishimaORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintApr 30, 2024

Accurate localization of cortical and subcortical sources of M/EEG signals by a convolutional neural network with a realistic head conductivity model: Validation with M/EEG simulation, evoked potentials, and invasive recordings

Hikaru Yokoyama, Natsuko Kaneko, Noboru Usuda…·Kimitaka Nakazawa

This paper introduces a convolutional neural network for accurate M/EEG source localization, validated on simulations and real data, showing improved accuracy for both cortical and subcortical regions.

DOI 10.1101/2024.04.30.591970

humanelectronic health records