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Kishima, H.
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Kishima, H.
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Kishima, H.
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1
Fully-Automated Spike Detection and Dipole Analysis of Epileptic MEG Using Deep Learning
by
Asai, M.
,
Emura, T.
,
Hirano, R.
,
Hirata, M.
,
Kagitani-Shimono, K.
,
Kishima
,
H
.
,
Nakashima, T.
,
Nakata, O.
Published 2022
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2
Difference in Analgesic Effects of Repetitive Transcranial Magnetic Stimulation According to the Site of Pain
by
Dong, D.
,
Hosomi, K.
,
Khoo, H.M
,
Kishima
,
H
.
,
Mori, N.
,
Nishi, A.
,
Oshino, S.
,
Saitoh, Y.
,
Tani, N.
,
Yanagisawa, T.
Published 2021
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Related Subjects
Article
Automation
Brain mapping
Classification networks
Cost effectiveness
Deep learning
Dipole analysis
Epilepsy
Equivalent current dipole
Estimation
Fully automated
Image segmentation
Images segmentations
Magnetoencephalography
Magnetoencephalography (MEG)
Neurology
Semantic Segmentation
Semantics
Sensors
Spike detection
Training data
analgesia
analgesic activity
analysis of variance
controlled study
effect size
face pain
follow up
human
intervention study
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