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Noboru Yoshida
Noboru Yoshida
在 juntendo.ac.jp 的电子邮件经过验证
标题
引用次数
引用次数
年份
Fully data-driven convolutional filters with deep learning models for epileptic spike detection
K Fukumori, HTT Nguyen, N Yoshida, T Tanaka
ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019
622019
Automated detection of abnormalities from an EEG recording of epilepsy patients with a compact convolutional neural network
T Shoji, N Yoshida, T Tanaka
Biomedical Signal Processing and Control 70, 103013, 2021
292021
Preparation of 94 K-superconducting NdBa2Cu3O7− δ without post-anneal in oxygen
S Fujihara, N Yoshida, T Kimura
Physica C: Superconductivity 276 (1-2), 69-74, 1997
241997
Epileptic spike detection using neural networks with linear-phase convolutions
K Fukumori, N Yoshida, H Sugano, M Nakajima, T Tanaka
IEEE Journal of Biomedical and Health Informatics 26 (3), 1045-1056, 2021
222021
Epileptic spike detection by recurrent neural networks with self-attention mechanism
K Fukumori, N Yoshida, H Sugano, M Nakajima, T Tanaka
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
152022
Detection of epileptic foci based on interictal iEEG by using convolutional neural network
X Zhao, Q Zhao, T Tanaka, J Cao, W Kong, H Sugano, N Yoshida
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018
112018
Association between the frequency of bedwetting and late preterm birth in children aged≥ 5 years
N Nishizaki, K Obinata, M Kantake, N Yoshida, Y Ohtomo, S Niijima, ...
Acta Paediatrica 108 (2), 282-287, 2019
82019
Scalpnet: Detection of spatiotemporal abnormal intervals in epileptic EEG using convolutional neural networks
T Sakai, T Shoji, N Yoshida, K Fukumori, Y Tanaka, T Tanaka
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
52020
Epileptic spike detection by using a linear-phase convolutional neural network
K Fukumori, N Yoshida, H Sugano, M Nakajima, T Tanaka
bioRxiv, 2020
42020
High pressure synthesis of Hg1223 superconductor under highly oxidizing atmosphere
N Yoshida, S Adachi, T Tatsuki, T Tamura, K Tanabe, S Fujihara, ...
Journal of the European Ceramic Society 19 (6-7), 1543-1546, 1999
41999
An orthorhombic NdBa1. 5Sr0. 5Cu3O7− δ superconductor prepared using a Ba1. 5Sr0. 5Cu3O5+ x precursor
S Fujihara, N Yoshida, T Kimura
Physica C: Superconductivity 288 (3-4), 158-162, 1997
31997
Detecting abnormal section in epileptic eeg using deep neural networks
T Shoji, N Yoshida, K Fukumori, T Tanaka
IEICE Tech. Rep 118, 217-222, 2019
12019
Effects of cation partial substitution for Hg site of Hg1223 on superconducting properties
N Yoshida, S Adachi, T Tatsuki, K Tanabe, S Fujihara, T Kimura
Journal of the Ceramic Society of Japan 108 (1263), 993-997, 2000
12000
A possibility of machine learning as a learning tool to evaluate paroxysmal discharge in interictal EEG of childhood focal epilepsy
N Yoshida, K Fukumori, A Kurita, J Hirota, H Sugano, Y Ohtomo, ...
Epilepsy & Seizure 16 (1), 60-70, 2024
2024
Iron and zinc deficiency affect adolescent school girls’ behavior
N Yoshida, C Kawato, S Niijima, Y Ohtomo, T Shimizu
Biomedical Research on Trace Elements 34 (2), 11-19, 2024
2024
Spontaneous and reflex movements after diagnosis of clinical brain death: A lesson from acute encephalopathy
M Kubota, Y Abe, N Nishimura, S Nakagawa, N Yoshida
Brain and Development 44 (9), 635-639, 2022
2022
Epileptic Spike Detection from Electroencephalogram with Self-Attention Mechanism
K Fukumori, N Yoshida, H Sugano, M Nakajima, T Tanaka
IEICE Technical Report; IEICE Tech. Rep. 121 (91), 11-15, 2021
2021
Automatic Detection of Epileptic Abnormal EEG Using Deep Learning
T Shoji, N Yoshida, T Tanaka
IEICE Technical Report; IEICE Tech. Rep. 120 (398), 15-20, 2021
2021
Automated Detection of Abnormal EEGs in Epilepsy With a Compact and Efficient CNN Model.
T Shoji, N Yoshida, T Tanaka
CoRR, 2021
2021
症例 発熱による脳卒中発作を反復したもやもや病の 1 例
丸山起三子, 吉田登, 辻脇篤志, 徳川城治, 大友義之, 新島新一, ...
小児内科 52 (6), 854-857, 2020
2020
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