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J-GLOBAL ID:202201020660944348   Update date: Jun. 06, 2024

Okamoto Takayuki

オカモト タカユキ | Okamoto Takayuki
Affiliation and department:
Job title: Assistant Professor
Research field  (2): Biomedical engineering ,  Medical systems
Research keywords  (7): Deep learning ,  Machine learning ,  Computer-aided diagnosis ,  Micro-CT ,  Image reconstruction ,  Medical image processing ,  CT
Research theme for competitive and other funds  (3):
  • 2024 - 2029 Creation of ultrasound pathology based on biological wave physical properties
  • 2023 - 2026 マイクロCTが拓く術中迅速病理診断における3次元構造解析
  • 2023 - 2025 高画質の3次元生体組織像を得るためのマイクロCT撮影・再構成技術
Papers (7):
  • Naoki Ikezawa, Takayuki Okamoto, Yoichi Yoshida, Satoru Kurihara, Nozomi Takahashi, Taka-aki Nakada, Hideaki Haneishi. Toward an application of automatic evaluation system for central facial palsy using two simple evaluation indices in emergency medicine. Scientific Reports. 2024. 14. 1
  • Takayuki Okamoto, Toshio Kumakiri, Hideaki Haneishi. Patch-based artifact reduction for three-dimensional volume projection data of sparse-view micro-computed tomography. Radiological Physics and Technology. 2022. 15. 3. 206-223
  • Takayuki Okamoto, Takashi Ohnishi, Hideaki Haneishi. Artifact Reduction for Sparse-view CT using Deep Learning with Band Patch. IEEE Transactions on Radiation and Plasma Medical Sciences. 2022. 6. 8. 859-873
  • Tin Tin Khaing, Takayuki Okamoto, Chen Ye, Md Abdul Mannan, Gen Miura, Hirotaka Yokouchi, Kazuya Nakano, Pakinee Aimmanee, Stanislav S. Makhanov, Hideaki Haneishi. Automatic measurement of choroidal thickness and vasculature in optical coherence tomography images of eyes with retinitis pigmentosa. Artificial Life and Robotics. 2022. 27. 1. 70-79
  • Tin Tin Khaing, Takayuki Okamoto, Chen Ye, Md Abdul Mannan, Hirotaka Yokouchi, Kazuya Nakano, Pakinee Aimmanee, Stanislav S. Makhanov, Hideaki Haneishi. ChoroidNET: A Dense Dilated U-Net Model for Choroid Layer and Vessel Segmentation in Optical Coherence Tomography Images. IEEE Access. 2021. 9. 150951-150965
more...
MISC (23):
  • Deep learning algorithms for quantitative diagnosis of fatty liver using ultrasound parametric images. 2024. 51. Supplement. S674-S674
  • 石川大洋, 岩男悠真, 赤松 剛, 田久創大, 田島英朗, 岡本尚之, 山谷泰賀, 羽石秀昭. 術中ガイドPET「Scratch-PET」のファントムを用いた実験的検証. 電子情報通信学会技術報告. 2024. 123. 411. 69-72
  • T. Okamoto, H. Haneishi. Vision Transformer-based Sinogram Enlarging for Reducing Artifacts in Sparse-view Micro-CT. 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD). 2023
  • T. Ishikawa, Y. Iwao, G. Akamatsu, S. Takyu, H. Tashima, T. Okamoto, T. Yamaya, H. Haneishi. Imaging simulation of "Scratch-PET": an intraoperative PET with a hand-held detector. 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD). 2023
  • 生澤 直樹, 岡本 尚之, 羽石 秀昭. Wasserstein GANを用いたスパースビュー・マイクロCTの画質改善. 電子情報通信学会技術報告. 2023. 123. 257. 45-47
more...
Patents (1):
  • 画像処理装置、画像処理システム、画像処理方法及びプログラム
Lectures and oral presentations  (32):
  • 前立腺における病理画像情報の3次元可視化技術の検討
    (2024年度 日本写真学会年次大会 2024)
  • A generative adversarial network based on Swin Transformer for reducing streak artifacts in sparse-view micro-computed tomography
    (The 3rd International Conference on Radiological Physics and Technology (ICRPT) 2024)
  • First demonstration of "Scratch-PET" for intraoperative PET with a hand-held probe-type detector
    (The 3rd International Conference on Radiological Physics and Technology (ICRPT) 2024)
  • 生体組織の立体構造解析に向けた画像処理技術
    (2024)
  • 手持ちプローブ型術中ガイドPET「Scratch-PET」の試作機開発
    (第13回核医学画像解析研究会 2023)
more...
Professional career (1):
  • Ph.D. (Chiba University)
Committee career (2):
  • 2023/04 - 現在 日本光学会 情報フォトニクス研究グループ 幹事
  • 2023/08 - 2024/01 日本光学会 冬期講習会 実行委員
Awards (3):
  • 2022/03 - Radiological Physics and Technology Doi Award
  • 2020/12 - なのはなコンペ2021(学生版)技術シーズ部門 知財活用賞
  • 2020/09 - 第39回日本医用画像工学会大会 奨励賞
Association Membership(s) (2):
日本医用画像工学会 ,  IEEE, Nuclear and Plasma Science Society
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