Rchr
J-GLOBAL ID：202001007180029088   Update date: Jul. 21, 2024

Yamada Shigeki

ヤマダ シゲキ | Yamada Shigeki
Affiliation and department：
Nagoya City University Graduate School of Medical Sciences Graduate School of Medical Sciences Department of Neurosurgery

About Nagoya City University Graduate School of Medical Sciences Graduate School of Medical Sciences Department of Neurosurgery


Job title： Lecturer
Other affiliations (1)：
  • The University of Tokyo  Interfaculty Initiative in Information Studies / Institute of Industrial Science   Researcher
Research field  (5)： Genetics ,  Biomedical engineering ,  Neurosurgery ,  Biomedical engineering ,  Radiology
Research keywords  (14)： Carotid artery stenosis ,  Hemodynamic infarction ,  Cerebral aneurysm ,  CSF shunt surgery ,  Cerebrospinal fluid ,  Brain waste clearance ,  idiopathic Normal pressure hydrocephalus ,  Normal pressure hydrocephalus ,  3D gait analysis ,  Computational fluid dynamics ,  4D Flow MRI ,  Neuroradiology ,  Hydrocephalus ,  Neurosurgery
Research theme for competitive and other funds  (13)：
  • 2024 - 2029 脳循環代謝シミュレーションモデルによる正常圧水頭症の病態解明
  • 2023 - 2027 Development of human digital twins for cerebral circulation using Fugaku
  • 2022 - 2026 Fluid Dynamics Analysis of CSF and Neuro Fluid using MRI
  • 2022 - 2026 Development of an analysis system of systemic-cerebral circulatory metabolism for stroke risk prediction
  • 2022 - 2025 Fine structure and MRI image of the neurofluid drainage system in the human cerebral meninges, spinal nerve sheath
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Papers (110)：
  • Shigeki Yamada, Tomohiro Otani, Satoshi Ii, Hirotaka Ito, Chifumi Iseki, Motoki Tanikawa, Yoshiyuki Watanabe, Shigeo Wada, Marie Oshima, Mitsuhito Mase. Modeling cerebrospinal fluid dynamics across the entire intracranial space through integration of four-dimensional flow and intravoxel incoherent motion magnetic resonance imaging. Fluids and barriers of the CNS. 2024. 21. 1. 47-47
  • Shigeki Yamada, Hirotaka Ito, Hironori Matsumasa, Satoshi Ii, Tomohiro Otani, Motoki Tanikawa, Chifumi Iseki, Yoshiyuki Watanabe, Shigeo Wada, Marie Oshima, et al. Automatic assessment of disproportionately enlarged subarachnoid-space hydrocephalus from 3D MRI using two deep learning models. Frontiers in Aging Neuroscience. 2024
  • Mats Tullberg, Ahmed K. Toma, Shigeki Yamada, Katarina Laurell, Masakazu Miyajima, Laurence D. Watkins, Carsten Wikkelsø. Classification of Chronic Hydrocephalus in Adults: A Systematic Review and Analysis. World Neurosurgery. 2024
  • Tomoyasu Yamanaka, Yusuke Nishikawa, Takashi Iwata, Teishiki Shibata, Mitsuru Uchida, Yuki Hayashi, Hiroyuki Katano, Motoki Tanikawa, Shigeki Yamada, Mitsuhito Mase. Preventive effect of intermittent cerebrospinal fluid drainage for secondary chronic hydrocephalus after aneurysmal subarachnoid hemorrhage. Fluids and Barriers of the CNS. 2023. 20. 1
  • Hiroto Kawano, Shigeki Yamada, Yoshiyuki Watanabe, Satoshi Ii, Tomohiro Otani, Hirotaka Ito, Ko Okada, Chifumi Iseki, Motoki Tanikawa, Shigeo Wada, et al. Aging and Sex Differences in Brain Volume and Cerebral Blood Flow. Aging and disease. 2023
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MISC (126)：
  • 太田 康之, 伊関 千書, 佐藤 裕康, 猪狩 龍佑, 近藤 敏行, 星 真行, 山田 茂樹, 青柳 幸彦. 人工知能による歩行・歩容解析を用いた早期フレイルと認知機能との関連解析. 大和証券ヘルス財団研究業績集. 2023. 46. 7-11
  • 山田茂樹, 山田茂樹, 伊藤広貴, 松政宏典, 渡邉嘉之, 伊井仁志, 大谷智仁, 和田成生, 大島まり, 谷川元紀, et al. 深層学習による3次元MRIを用いたDESHの自動検出. 日本神経放射線学会プログラム・抄録集. 2023. 52nd
  • 山田茂樹, 山田茂樹, 伊藤広貴, 渡邉嘉之, 伊井仁志, 大谷智仁, 和田成生, 大島まり, 谷川元紀, 間瀬光人. 特発性正常圧水頭症と脳脊髄液動態の加齢性変化. 日本神経放射線学会プログラム・抄録集. 2023. 52nd
  • 山田茂樹, 山田茂樹, 山田茂樹, 伊藤広貴, 松政宏典, 伊井仁志, 前田修作, 武石直樹, 大谷智仁, 谷川元紀, et al. 脳と脳脊髄液の自動抽出・領域分割とAI-CAD. 日本生体医工学会大会プログラム・抄録集(Web). 2023. 62nd
  • 山田茂樹, 伊藤広貴, 松政宏典, 渡邉嘉之, 伊井仁志, 大谷智仁, 和田成生, 大島まり, 谷川元紀, 間瀬光人. 3次元MRIを用いたDESH自動検出. 日本正常圧水頭症学会プログラム・抄録集. 2023. 24th
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Books (5)：
  • 医療用3Dワークステーションで学ぶ 脳神経外科手術戦略シミュレーション
    株式会社 中外医学社 2024 ISBN:9784498428102
  • 脳卒中データバンク2021
    中山書店 2021
  • 今日の問診票/診断辞典
    株式会社プレシジョン 2020
  • 脳卒中データバンク2015
    中山書店 2015
  • インターベンション時代の脳卒中学(改定第2版)
    株式会社 日本臨床社 2006
Lectures and oral presentations  (238)：
  • 治療可能な認知症・転倒予防の病気を見逃さない ~ハキム病(iNPH)
    (東海認知症・運動障害研究会 2024)
  • 特発性正常圧水頭症からハキム病への名称変更を含めた成人慢性水頭症の新分類とハキム病の自動定量判定AIの開発
    (第8回日本脳神経外科認知症学会 2024)
  • 脳区域解析・脳脊髄液腔解析アプリによる病的脳萎縮とハキム病(iNPH)の自動検出
    (第33回日本脳ドック学会総会 2024)
  • 成人慢性水頭症の新分類:特発性正常圧水頭症のハキム病への名称変更
    (第33回日本脳ドック学会総会 2024)
  • デジタルデータでみる加齢性脳画像の特徴
    (第24回日本抗加齢医学会総会 2024)
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Works (1)：
  • Brain silicon model for microsurgical practice of Neurosurgery
    2009 -
Education (4)：
  • 2001 - 2005 Kyoto University Graduate School of Medicine Neuroscience, Neurosurgery
  • 2005 - 2005 The University of Tokyo Interfaculty Initiative in Information Studies Graduate School of Interdisciplinary Information Studies Institute of Industrial Science
  • 2004 - 2004 Centre National de Genotypage
  • 1991 - 1997 Gifu University School of Medicine Medical Course
Professional career (1)：
  • Doctor of Philosophy (Kyoto University)
Work history (13)：
  • 2022/10 - 現在 Nagoya City University Graduate School of Medical Sciences, Department of Neurosurgery Lecture
  • 2012/04 - 現在 The University of Tokyo Interfaculty Initiative in Information Studies / Institute of Industrial Science Research fellow
  • 2022/05 - 2022/09 Nagoya City University Graduate School of Medical Sciences Department of Neurosurgery
  • 2021/02 - 2022/09 Shiga University of Medical Science Neurosurgery Lecturer
  • 2019/10 - 2021/01 Shiga University of Medical Science Neurosurgery Assistant professor
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Committee career (7)：
  • 2023/09 - 現在 International Society for Hydrocephalus and Cerebrospinal Fluid Disorders (ISHCSF) Board member (Academic committee)
  • 2022/10 - 現在 Japanese Society of Fall Prevention Board member (Academic committee)
  • 2022/09 - 現在 International Society for Hydrocephalus and Cerebrospinal Fluid Disorders (ISHCSF) International iNPH Guidelines Project Member
  • 2021 - 現在 日本医療政策機構(HGPI) 「特発性正常圧水頭症(iNPH)アドバイザリーボードメンバー
  • 2018/10 - 現在 Japanese Society for Hydrocephalus and CSF Disorders Board member (Academic committee)
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Awards (7)：
  • 2024/03 - 日本脳卒中の外科学会 日本脳卒中の外科学会賞(鈴木賞)
  • 2024/03 - 日本機械学会 日本機械学会賞(論文)
  • 2023/06 - Journal of Biomechanical Science and Engineering (JBSE) 2022 JBSE Graphics of the Year Award A concept on velocity estimation from magnetic resonance velocity images based on variational optimal boundary control
  • 2021/03 - 滋賀医科大学医学部附属病院 まごころ職員大賞
  • 2019/10 - Japan Neurosurgical Society cellent Presentation Award
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Association Membership(s) (13)：
Japan Society for Dementia Research ,  Japanese Society for Magnetic Resonance in Medicine ,  Japanese Society for Medical and Biological Engineering (JSMBE) ,  The Japanese Society of Neuroradiology ,  The Japanese Society of Fall Prevention ,  The Japanese Society for Hydrocephalus and CSF Disorders ,  The Japanese Society for Normal Pressure Hydrocephalus ,  The Japan Brain Dock Society ,  Conference on Neurosurgical Techniques and Tools (CNTT) ,  The Japanese Congress of Neurological Surgeons ,  The Japanese Society of Surgery for Cerebral Stroke ,  The Japan Stroke Society ,  The Japan Neurosurgical Society
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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