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 | 62 | 2019 |
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 | 29 | 2021 |
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 | 24 | 1997 |
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 | 22 | 2021 |
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 | 15 | 2022 |
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 | 11 | 2018 |
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 | 8 | 2019 |
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 | 5 | 2020 |
Epileptic spike detection by using a linear-phase convolutional neural network K Fukumori, N Yoshida, H Sugano, M Nakajima, T Tanaka bioRxiv, 2020 | 4 | 2020 |
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 | 4 | 1999 |
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 | 3 | 1997 |
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 | 1 | 2019 |
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 | 1 | 2000 |
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 |