Determination of language dominance with synthetic aperture magnetometry: comparison with the Wada test. - Masayuki Hirata; Amami Kato; Masaaki Taniguchi; Youichi Saitoh; Hirotomo Ninomiya; Aya Ihara; Haruhiko Kishima; Satoru Oshino; Takahito Baba; Shiro Yorifuji; Toshiki Yoshimine (NeuroImage, 2004)

Fractional anisotropy and tumor cell density of the tumor core show positive correlation in diffusion tensor magnetic resonance imaging of malignant brain tumors. - Manabu Kinoshita; Naoya Hashimoto; Tetsu Goto; Naoki Kagawa; Haruhiko Kishima; Shuichi Izumoto; Hisashi Tanaka; Norihiko Fujita; Toshiki Yoshimine (NeuroImage, 2008)

Use of fractional anisotropy for determination of the cut-off value in 11C-methionine positron emission tomography for glioma. - Manabu Kinoshita; Naoya Hashimoto; Tetsu Goto; Takufumi Yanagisawa; Yoshiko Okita; Naoki Kagawa; Haruhiko Kishima; Hisashi Tanaka; Norihiko Fujita; Eku Shimosegawa; Jun Hatazawa; Toshiki Yoshimine (NeuroImage, 2009)

Modulation of neuronal activity after spinal cord stimulation for neuropathic pain; H215O PET study. - Haruhiko Kishima; Youichi Saitoh; Satoru Oshino; Koichi Hosomi; Mohamed Ali 004; Tomoyuki Maruo; Masayuki Hirata; Tetsu Goto; Takufumi Yanagisawa; Masahiko Sumitani; Yasuhiro Osaki; Jun Hatazawa; et al. (NeuroImage, 2010)

11C-methionine uptake correlates with tumor cell density rather than with microvessel density in glioma: A stereotactic image-histology comparison. - Yoshiko Okita; Manabu Kinoshita; Tetsu Goto; Naoki Kagawa; Haruhiko Kishima; Eku Shimosegawa; Jun Hatazawa; Naoya Hashimoto; Toshiki Yoshimine (NeuroImage, 2010)

Corrigendum to "Frequency-dependent spatiotemporal distribution of cerebral oscillatory changes during silent reading: A magnetoencephalographic group analysis" [NeuroImage 54/1 (2011) 560-567]. - Tetsu Goto; Masayuki Hirata; Yuka Umekawa; Takufumi Yanagisawa; Shayne Morris; Youichi Saitoh; Haruhiko Kishima; Shirou Yorifuji; Toshiki Yoshimine (NeuroImage, 2011)

Frequency-dependent spatiotemporal distribution of cerebral oscillatory changes during silent reading: A magnetoencephalograhic group analysis. - Tetsu Goto; Masayuki Hirata; Yuka Umekawa; Takufumi Yanagisawa; Shayne Morris; Youichi Saitoh; Haruhiko Kishima; Shirou Yorifuji; Toshiki Yoshimine (NeuroImage, 2011)

Feasibility of 2nd generation STS retinal prosthesis in dogs. - Takashi Fujikado; M. Kamei; H. Sakaguchi; H. Kanda; T. Morimoto; Haruhiko Kishima; T. Maruo; K. Oosawa; M. Ozawa; Kohji Nishida (EMBC, 2013)

Patient-specific contour-fitting sheet electrodes for electrocorticographic brain machine interfaces. - Masayuki Hirata; Shayne Morris; Hisato Sugata; Kojiro Matsushita; Takufumi Yanagisawa; Haruhiko Kishima; Toshiki Yoshimine (EMBC, 2014)

Patient-Specific Cortical Electrodes for Sulcal and Gyral Implantation. - Shayne Morris; Masayuki Hirata; Hisato Sugata; Tetsu Goto; Kojiro Matsushita; Takufumi Yanagisawa; Youichi Saitoh; Haruhiko Kishima; Toshiki Yoshimine (IEEE Trans. Biomed. Eng., 2015)

Decoding Visual Stimulus in Semantic Space from Electrocorticography Signals. - Ryohei Fukuma; Takufumi Yanagisawa; Shinji Nishimoto; Masataka Tanaka; Shota Yamamoto; Satoru Oshino; Yukiyasu Kamitani; Haruhiko Kishima (SMC, 2018)

Using a BCI Prosthetic Hand to Control Phantom Limb Pain. - Takufumi Yanagisawa; Ryohei Fukuma; Ben Seymour; Koichi Hosomi; Haruhiko Kishima; Takeshi Shimizu; Hiroshi Yokoi; Masayuki Hirata; Toshiki Yoshimine; Yukiyasu Kamitani; Youichi Saitoh (Brain-Computer Interface Research (7), 2019)

A Swallowing Decoder Based on Deep Transfer Learning: AlexNet Classification of the Intracranial Electrocorticogram. - Hiroaki Hashimoto; Seiji Kameda; Hitoshi Maezawa; Satoru Oshino; Naoki Tani; Hui Ming Khoo; Takufumi Yanagisawa; Toshiki Yoshimine; Haruhiko Kishima; Masayuki Hirata (Int. J. Neural Syst., 2021)

Fully-Automated Spike Detection and Dipole Analysis of Epileptic MEG Using Deep Learning. - Ryoji Hirano; Takuto Emura; Otoichi Nakata; Toshiharu Nakashima; Miyako Asai; Kuriko Kagitani-Shimono; Haruhiko Kishima; Masayuki Hirata (IEEE Trans. Medical Imaging, 2022)

Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition. - Ryohei Fukuma; Kei Majima; Yoshinobu Kawahara; Okito Yamashita; Yoshiyuki Shiraishi; Haruhiko Kishima; Takufumi Yanagisawa (CoRR, 2023)

Development of an epileptic seizure prediction algorithm using R-R intervals with self-attentive autoencoder. - Rikumo Ode; Koichi Fujiwara; Miho Miyajima; Toshikata Yamakawa; Manabu Kano; Kazutaka Jin; Nobukazu Nakasato; Yasuko Sawai; Toru Hoshida; Masaki Iwasaki; Yoshiko Murata; Satsuki Watanabe; et al. (Artif. Life Robotics, 2023)

SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning. - Rikuto Kotoge; Zheng Chen 012; Tasuku Kimura; Yasuko Matsubara; Takufumi Yanagisawa; Haruhiko Kishima; Yasushi Sakurai (ICDM, 2024)

Brain-grounding of semantic vectors improves neural decoding of visual stimuli. - Shirin Vafaei; Ryohei Fukuma; Huixiang Yang; Haruhiko Kishima; Takufumi Yanagisawa (CoRR, 2024)

A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study. - Yusuke Watanabe; Yuki Miyazaki; Masahiro Hata; Ryohei Fukuma; Yasunori Aoki; Hiroaki Kazui; Toshihiko Araki; Daiki Taomoto; Yuto Satake; Takashi Suehiro; Shunsuke Sato; Hideki Kanemoto; et al. (Neural Networks, 2024)