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Hidenori Sugano
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2020 – today
- 2024
- [j3]Yao Miao
, Hiroharu Suzuki
Causal Connectivity Network Analysis of Ictal Electrocorticogram With Temporal Lobe Epilepsy Based on Dynamic Phase Transfer Entropy. IEEE Trans. Biomed. Eng. 71(2): 531-541 (2024) - [c11]Kazi Mahmudul Hassan
Detection of Epileptic Seizures in Long Eeg Recordings Using an Anomaly Detector with Artifact Rejection. ICASSP 2024: 2230-2234 - 2023
- [c10]Mitali Ahuja, Shuji Komeiji, Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano, Koichi Shinoda, Toshihisa Tanaka:
Multimodal recognition of speech and electrocorticogram. APSIPA ASC 2023: 546-550 - [c9]Keisuke Matsubayashi, Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano, Kosuke Fukumori, Xuyang Zhao, Toshihisa Tanaka:
Identification of Seizure Onset Zone from Intracranial EEG Using Source Selection-Based Domain Adaptation. EMBC 2023: 1-4 - [c8]Kai Shigemi, Shuji Komeiji, Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano, Koichi Shinoda, Kohei Yatabe, Toshihisa Tanaka:
Synthesizing Speech from ECoG with a Combination of Transformer-Based Encoder and Neural Vocoder. ICASSP 2023: 1-5 - 2022
- [j2]Kosuke Fukumori
Epileptic Spike Detection Using Neural Networks With Linear-Phase Convolutions. IEEE J. Biomed. Health Informatics 26(3): 1045-1056 (2022) - [c7]Shuji Komeiji, Kai Shigemi, Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano, Koichi Shinoda, Toshihisa Tanaka:
Transformer-Based Estimation of Spoken Sentences Using Electrocorticography. ICASSP 2022: 1311-1315 - [c6]Kosuke Fukumori, Noboru Yoshida, Hidenori Sugano, Madoka Nakajima, Toshihisa Tanaka:
Epileptic Spike Detection by Recurrent Neural Networks with Self-Attention Mechanism. ICASSP 2022: 1406-1410 - 2021
- [c5]Yao Miao, Yasushi Iimura, Hidenori Sugano, Kosuke Fukumori, Taku Shoji, Toshihisa Tanaka:
Seizure Onset Zone Identification Based on Phase-Amplitude Coupling of Interictal Electrocorticogram. EMBC 2021: 587-590 - 2020
- [j1]Most. Sheuli Akter
Statistical Features in High-Frequency Bands of Interictal iEEG Work Efficiently in Identifying the Seizure Onset Zone in Patients with Focal Epilepsy. Entropy 22(12): 1415 (2020) - [c4]Most. Sheuli Akter
Automatic Detection of Epileptic Focus in Ripple and Fast Ripple Bands of Interictal iEEG based on Multi-band Analysis. ICAIIC 2020: 490-493
2010 – 2019
- 2019
- [c3]Most. Sheuli Akter
Automatic Identification of Epileptic Focus on High-Frequency Components in Interictal iEEG. IIAI-AAI 2019: 1075-1076 - 2018
- [c2]Xuyang Zhao, Toshihisa Tanaka, Wanzeng Kong, Qibin Zhao, Jianting Cao, Hidenori Sugano, Noboru Yoshida:
Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning. APSIPA 2018: 493-497 - [c1]Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Wanzeng Kong, Hidenori Sugano, Noboru Yoshida
Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network. DSP 2018: 1-5
Coauthor Index
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