School personnel information

写真b

YANAGISAWA Takufumi


Keyword

Brain-machine interface

Mail Address

Mail Address

Laboratory Phone number

+81-6-6879-3652

Laboratory Fax number

+81-6-6879-3659

URL

https://www2.med.osaka-u.ac.jp/nsurg/yanagisawa/

Gender

Male

Organization 【 display / non-display

  • 2010.06.01 - 2010.09.30, Division of Surgical Medicine, Graduate School of Medicine, Specially Appointed Researcher

  • 2010.10.01 - 2012.03.31, Division of Medicine, Graduate School of Medicine, Specially Appointed Researcher

  • 2012.04.01 - 2016.03.31, Division of Health Sciences, Graduate School of Medicine, Assistant Professor

  • 2016.04.01 - 2018.03.31, Global Center for Medical Engineering and Informatics, Associate Professor

  • 2018.04.01 - , Institute for Advanced Co-Creation Studies, Professor

Education 【 display / non-display

Waseda University Graduate School, Division of Physics  Completed 2000.03
Osaka University Faculty of Medicine  Graduated 2004.04
Osaka University Graduate School, Division of Medical Sciences  Completed 2009.09

Research topics 【 display / non-display

  • Brain-Machine Interface
    Neuroscience-general-related

  • MEG
    Neuroscience-general-related

 

Academic Papers 【 display / non-display

  • Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network, Ryohei Fukuma, Takufumi Yanagisawa, Manabu Kinoshita, Takashi Shinozaki, Hideyuki Arita, Atsushi Kawaguchi, Masamichi Takahashi, Yoshitaka Narita, Yuzo Terakawa, Naohiro Tsuyuguchi, Yoshiko Okita, Masahiro Nonaka, Shusuke Moriuchi, Masatoshi Takagaki, Yasunori Fujimoto, Junya Fukai, Shuichi Izumoto, Kenichi Ishibashi, Yoshikazu Nakajima, Tomoko Shofuda, Daisuke Kanematsu, Ema Yoshioka, Yoshinori Kodama, Masayuki Mano, Kanji Mori, Koichi Ichimura, Yonehiro Kanemura, and Haruhiko Kishima, Scientific Reports, 2019.12, Papers

  • Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network, Ryohei Fukuma, Takufumi Yanagisawa, Manabu Kinoshita, Takashi Shinozaki, HideyukiArita, Atsushi Kawaguchi, MasamichiTakahashi, Yoshitaka Narita, YuzoTerakawa, NaohiroTsuyuguchi, YoshikoOkita, Masahiro Nonaka, Shusuke Moriuchi, MasatoshiTakagaki, Yasunori Fujimoto, Junya Fukai, Shuichi Izumoto, Kenichi Ishibashi, Yoshikazu Nakajima, Tomoko Shofuda, Daisuke Kanematsu, Ema Yoshioka, Yoshinori Kodama, Masayuki Mano, Kanji Mori, Koichi Ichimura, Yonehiro Kanemura, Haruhiko Kishima, Scientific Reports,9(1):20311, 2019.12, Papers

  • The future potential of the Stentrode., John SE, Grayden DB, Yanagisawa T, Expert review of medical devices,16(10) 841-843, 2019.10, Papers

  • Somatosensation Evoked by Cortical Surface Stimulation of the Human Primary Somatosensory Cortex., Kirin SC, Yanagisawa T, Oshino S, Edakawa K, Tanaka M, Kishima H, Nishimura Y, Frontiers in neuroscience,13 1019, 2019.04, Other

  • Automatic diagnosis of neurological diseases using MEG signals with a deep neural network, Jo Aoe, Ryohei Fukuma, Takufumi Yanagisawa, Tatsuya Harada, Masataka Tanaka, Maki Kobayashi, You Inoue, Shota Yamamoto, Yuichiro Ohnishi, Haruhiko Kishima , Scientific Reports,Sci Rep 9, 5057 (2019), 2019.03, Papers

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Awards 【 display / non-display

  • English presentation award, Development of an epilepsy diagnostic tool using deep neural network, 2018.10

  • The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, The Young Scientists' Prize, 2013.04

Media report 【 display / non-display

  • Doctors Try Brain-Training to Curb 'Phantom Limb Pain', ForeignAffairs.co.nz., 2016.11