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J-GLOBAL ID:201101099739030938   Update date: Mar. 26, 2024

Hayashi Naoto

ハヤシ ナオト | Hayashi Naoto
Affiliation and department:
Job title: project professor
Homepage URL  (1): http://kaken.nii.ac.jp/ja/r/10261992
Research field  (3): Radiology ,  Biomaterials ,  Biomedical engineering
Research keywords  (31): 包括脳ネットワーク ,  磁気共鳴画像 ,  脳梗塞 ,  拡散強調画像 ,  MRDSA ,  血管壁 ,  磁気共鳴スペクトロスコピ- ,  光ファイバPZT位相変調器 ,  超音波 ,  造影剤 ,  動脈硬化 ,  光干渉 ,  動脈硬化性変化 ,  画像処理 ,  MRI透視 ,  インフォーカス・コヒーレンスゲート検出光学系 ,  光干渉断層画像 ,  超音波断層画像 ,  脳内代謝物質 ,  血管腫 ,  薬物濃度 ,  arterial spin labeling ,  血管OCT ,  血管ダイナミクス ,  coutiauous-ASL ,  血管のOCT ,  ラット ,  cerebral blood flow ,  末梢血管系 ,  perfusion ,  arterial spin lobeling
Research theme for competitive and other funds  (10):
  • 2009 - 2014 Mathematical Foundations of Computational Anatomy
  • 2009 - 2011 Development of Diagnostic and Therapeutic Support System based on Novel Brain Atlas with Morphological, Functional and Pathological Information
  • 2006 - 2007 光コヒーレンストモグラフィによる末梢血管系の動態イメージングと臨床診断応用
  • 2004 - 2005 極端に深い高分解能光コヒーレンストモグラフィの開発と末梢血管断面のインビボ観察
  • 2002 - 2004 Basic study to establish the method to evaluate surface vascular lesions by utilization of optical coherence tomography.
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Papers (191):
  • Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe. Development and evaluation of an integrated liver nodule diagnostic method by combining the liver segment division and lesion localization/classification models for enhanced focal liver lesion detection. Radiological physics and technology. 2024. 17. 1. 103-111
  • Md Ashraful Alam, Shouhei Hanaoka, Yukihiro Nomura, Tomohiro Kikuchi, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Takeharu Yoshikawa, Osamu Abe. Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data. International journal of computer assisted radiology and surgery. 2024. 19. 3. 581-590
  • Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Yukihiro Nomura, Takeharu Yoshikawa, Md Ashraful Alam, Harushi Mori, Naoto Hayashi. Relationship between Thyroid CT Density, Volume, and Future TSH Elevation: A 5-Year Follow-Up Study. Life. 2023. 13. 12. 2303-2303
  • Shohei Fujita, Susumu Mori, Kengo Onda, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Takeharu Yoshikawa, Hidemasa Takao, Naoto Hayashi, Osamu Abe. Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging. JAMA Network Open. 2023. 6. 6. e2318153-e2318153
  • Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Yukihiro Nomura, Takeharu Yoshikawa, Ashraful Alam, Harushi Mori, Naoto Hayashi. Significance of FDG-PET standardized uptake values in predicting thyroid disease. European thyroid journal. 2022. 12. 1
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MISC (172):
  • 中村優太, 花岡昇平, 花岡昇平, 野村行弘, 野村行弘, 片山僚, 小西池真緒, 越野沙織, 菊地智博, 中尾貴祐, et al. 深層学習による抽象型要約を用いた読影レポートimpressionの自動生成. 日本医学放射線学会秋季臨床大会抄録集. 2022. 58th
  • 細田和史, 根本充貴, 山口明乃, 木村祐一, 林直人. 9ch2.5D画像からの深層教師なし特徴量抽出による頭部MRA像上脳動脈瘤検出. 日本生体医工学会大会プログラム・抄録集(Web). 2022. 61st
  • 野村行弘, 野村行弘, 花岡昇平, 花岡昇平, 林直人, 吉川健啓, 越野沙織, 佐藤千明, 龍田ももこ, 仲谷元, et al. CT画像の肺結節検出における再学習用正解データ入力者の違いによる性能変化に関する検討. 日本医学放射線学会秋季臨床大会抄録集. 2021. 57th
  • M Takahashi, T Takenaga, Y Nomura, S Hanaoka, M Nemoto, T Yoshikawa, N Hayashi, S Abe. A preliminary study on creating a ground-truth image for deep learning-based body fat segmentation in MRI using multi-atlas segmentation. International Journal of Computer Assisted Radiology and Surgery. 2020. 15. S1. 205-206
  • 花岡昇平, 野村行弘, 柴田寿一, 三木聡一郎, 中尾貴祐, 林直人, 吉川健啓, 渡谷岳行, 阿部修. Glowによる胸部単純写真における教師なし異常強調の試み. 日本医学放射線学会秋季臨床大会抄録集. 2020. 56th
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Professional career (1):
  • MD (University of Tokyo)
Work history (4):
  • 2005/05 - Department of Computational Diagnostic Raidology and Preventive Medicine, The University of Tokyo Hospital project associate professor
  • 2000/12 - 2005/04 The University of Tokyo Faculty of Medicine University Hospital
  • 1999/02 - 1999/11 The University of Tokyo Faculty of Medicine University Hospital
  • 1994/07 - 1999/01 The University of Tokyo Faculty of Medicine University Hospital
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