Author

K. Fukumori

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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Research Focus:differential expression· 2 Assay:electrophysiology· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

H. Sugano· 2 shared T. Tanaka· 2 shared A. Cichocki· 1 shared A. Most. Sheuli· 1 shared D. Wang· 1 shared I. Md. Rabiul· 1 shared I. Yasushi· 1 shared M. Nakajima· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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2 shared papersBioengineering

H. Sugano

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2 papers

Recent·Most cited

BioengineeringbioRxivJun 17, 2021

Satelight: Self-Attention-Based Model for Epileptic Spike Detection from Multi-Electrode EEG

K. Fukumori, N. Yoshida, H. Sugano…·T. Tanaka

Satelight detects epileptic spikes in EEG using self-attention, achieving high accuracy with fewer parameters than existing models.

DOI 10.1088/1741-2552/ac9050

electrophysiologydeep learning

𝕏 PostBluesky

BioengineeringbioRxivMar 23, 2020

Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high- frequency components in interictal iEEG

A. Most. Sheuli, I. Md. Rabiul, I. Yasushi…·A. Cichocki

This paper develops a machine learning method using entropy features from high-frequency iEEG subbands to accurately identify epileptic focus in patients.

DOI 10.1038/s41598-020-62967-z

humanelectrophysiology

𝕏 PostBluesky