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J-GLOBAL ID:200901046263265090   Update date: Feb. 29, 2024

Suyari Hiroki

スヤリ ヒロキ | Suyari Hiroki
Affiliation and department:
Job title: Chiba University
Homepage URL  (1): https://sites.google.com/view/hirokisuyari/
Research field  (1): Information theory
Research keywords  (3): エントロピー ,  complex systems ,  information theory
Research theme for competitive and other funds  (19):
  • 2021 - 2024 異常統計における極限定理とそのモデリングならびに情報源符号化への応用
  • 2020 - 2023 An Development of automated short-answer scoring system based on deep learning without using supervised scoring data
  • 2017 - 2020 Elucidation of information structures in anomalous statistics and its applications
  • 2013 - 2016 Elucidation of information structure behind complex systems using continued fraction and scale invariant generalized exponential function
  • 2010 - 2012 New developments of source coding by means of generalized exponentials with scale invariance.
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Papers (58):
  • Manami Takahashi, Reika Kosuda, Hiroyuki Takaoka, Hajime Yokota, Yasukuni Mori, Joji Ota, Takuro Horikoshi, Yasuhiko Tachibana, Hideki Kitahara, Masafumi Sugawara, et al. Deep learning-based coronary computed tomography analysis to predict functionally significant coronary artery stenosis. Heart and vessels. 2023. 38. 11. 1318-1328
  • Ryusuke Hirai, Shinichiro Mori, Hiroki Suyari, Hiroshi Tsuji, Hitoshi Ishikawa. Optimizing 3DCT image registration for interfractional changes in carbon-ion prostate radiotherapy. Scientific Reports. 2023. 13. 1
  • Toshio Kumakiri, Shinichiro Mori, Yasukuni Mori, Ryusuke Hirai, Ayato Hashimoto, Yasuhiko Tachibana, Hiroki Suyari, Hitoshi Ishikawa. Real-time deep neural network-based automatic bowel gas segmentation on X-ray images for particle beam treatment. Physical and Engineering Sciences in Medicine. 2023
  • Katsuya Kosukegawa, Yasukuni Mori, Hiroki Suyari, Kazuhiko Kawamoto. Spatiotemporal forecasting of vertical track alignment with exogenous factors. Scientific Reports. 2023. 13. 1. 2354-2354
  • Yuki Terasaki, Hajime Yokota, Kohei Tashiro, Takuma Maejima, Takashi Takeuchi, Ryuna Kurosawa, Shoma Yamauchi, Akiyo Takada, Hiroki Mukai, Kenji Ohira, et al. Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi-Center Study. Frontiers in Neurology. 2022. 12. 742126-742126
more...
MISC (78):
  • KOSUKEGAWA Katsuya, KAWAMOTO Kazuhiko, MORI Yasukuni, SUYARI Hiroki. Spatio-temporal forecasting for railway track degradation detection with exogenous data. Proceedings of the Annual Conference of JSAI. 2022. JSAI2022. 4Yin224-4Yin224
  • 田代弘平, 寺崎優希, 横田元, 太田丞二, 堀越琢郎, 森康久仁, 須鎗弘樹. False Positive Reduction Using Vascular Structure and Location Information for Cerebral Aneurysm Detection Model on MR Angiography. 人工知能学会全国大会論文集(Web). 2020. 34th
  • 小須田玲花, 小名木佑来, 太田丞二, 高橋愛, 高岡浩之, 堀越琢郎, 横田元, 森康久仁, 須鎗弘樹. Classification of Functionally Significant Coronary Artery Stenosis using LSTM. 人工知能学会全国大会論文集(Web). 2020. 34th
  • 唐 啓超, ヤン・テイショウ, 吉村 裕一郎, 長谷川 豊, 森 康久仁, 須鎗 弘樹, 並木 隆雄, 中口 俊哉. 舌診断支援システムの自動化に向けた舌検出と領域抽出の検討. 日本医用画像工学会大会予稿集. 2019. 38回. 34-34
  • 唐 啓超, ヤン・テイショウ, 吉村 裕一郎, 森 康久仁, 須鎗 弘樹, 並木 隆雄, 中口 俊哉. 舌診断支援システムの自動化に向けた舌検出と領域抽出の検討. 日本医用画像工学会大会予稿集. 2019. 38回. 136-142
more...
Books (1):
  • 複雑系のための基礎数理-べき乗則とツァリスエントロピーの数理 (数理情報科学シリーズ)
    牧野書店 2010
Professional career (3):
  • Bachelor of Science (Tokyo University of Science)
  • Master of Science (Tokyo University of Science)
  • Doctor of Science (Tokyo University of Science)
Work history (3):
  • 2013/04 - 現在 Chiba University Faculty of Engineering
  • 2008/04 - 2013/03 Chiba University
  • 2000/04 - 2008/03 Chiba University
Association Membership(s) (4):
情報理論とその応用学会 ,  IEEE ,  日本物理学会 ,  電子情報通信学会
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