Rchr
J-GLOBAL ID:201001001780155111   Update date: Jun. 01, 2024

KAMIYA Naoki

カミヤ ナオキ | KAMIYA Naoki
Affiliation and department:
Job title: Associate Professor
Other affiliations (1):
  • Sugiyama Jogakuen University  School of Foreign Studies 
Homepage URL  (1): http://www.ist.aichi-pu.ac.jp/~n-kamiya/
Research field  (2): Medical systems ,  Biological, health, and medical informatics
Research keywords  (4): Computer-aided Diagnosis: CAD ,  Medical Image Processing ,  Image Processing ,  Computer-aided Diagnosis
Research theme for competitive and other funds  (19):
  • 2022 - 2027 Elucidation of the Paper Road by data science. -Based on Quantitative, Qualitative research and AI Multidimensional analysis-
  • 2021 - 2024 Realization of Multidisciplinary Understanding of Skeletal Muscle by Constructing Deep Learning and Model Integration Theory
  • 2018 - 2023 The research on propagation of the world paper culture and elucidation of "Samarkand Paper"
  • 2014 - 2019 Function Integrated Diagnostic Assistance based on Multidisciplinary Computational Anatomy Models
  • 2017 - 2019 Development of multiple skeletal muscle recognition technique in the thoracoabdominal region for respiratory muscle function analysis
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Papers (24):
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MISC (115):
  • Yu Yoshizato, Yexin Zhou, Yoichi Ohyanagi, Akiko Iwata, Koji Shibazaki, Naoki Kamiya. Initial study of fiber estimation in macro-images of paper based on patch-based classification using two-stage EfficientNet. Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023. 2023. 125921J. 1-7
  • M. Kawamoto, N. Kamiya, X. Zhou, H. Kato, T. Hara, H. Fujita. Skeletal Muscle Segmentation in L3 Cross Section by 2D U-Net Using Simultaneous Learning of Skeletal Muscles in Body CT Images. Proc. of International Forum on Medical Imaging in Asia (IFMIA) 2023. 2023. 15-15
  • S. Miyamoto, N. Kamiya, X. Zhou, H. Kato, T. Hara, H. Fujita. Automatic Segmentation of Superficial Skeletal Muscles by 2D U-Net Using Simultaneous Learning of Bones by Virtual Unfolded CT Images. Proc. of International Forum on Medical Imaging in Asia (IFMIA) 2023. 2023. 14-14
  • Naoki Kamiya, Xiangrong Zhou, Hiroki Kato, Takeshi Hara, Hiroshi Fujita. Automated segmentation of oblique abdominal muscle based on body cavity segmentation in torso CT images using U-Net. Proc. of International Workshop on Advanced Imaging Technology (IWAIT) 2022. 2022. 121771. 121771V
  • Hiroshi Fujita, Takeshi Hara, Xiangrong Zhou, Atsushi Teramoto, Naoki Kamiya, Daisuke Fukuoka, Chisako Muramatsu. Function Integrated Diagnostic Assistance Based on MCA Models. Multidisciplinary Computational Anatomy. 2022. 67-77
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Books (10):
  • Development of Multiple Skeletal Muscle Recognition Technique in the Thoracoabdominal Region for Respiratory Muscle Function Analysis
    Springer Singapore 2022 ISBN:9789811643248
  • Multidisciplinary Computational Anatomy
    Springer, Singapore 2022 ISBN:9789811643248
  • Multidisciplinary Computational Anatomy
    Springer, Singapore 2022 ISBN:9789811643248
  • 医療AIとディープラーニングシリーズ 2020-2021年版 はじめての医用画像ディープラーニング -基礎・応用・事例-
    オーム社 2020
  • Deep Learning Technique for Musculoskeletal Analysis
    Advances in Experimental Medicine and Biology 2020
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Lectures and oral presentations  (34):
  • 体幹部CT画像における2D U-Netを用いた大域構造5領域の認識
    (医用画像情報学会(MII)令和5年度年次(第196回)大会 2023)
  • 自己教師あり学習に基づく全身CT画像からの骨格筋の自動抽出に関する研究
    (医用画像情報学会(MII)令和4年度春季(第195回)大会 2023)
  • 民生品デジタルカメラを用いたパッチ分類による紙の繊維推定の現状と課題
    (第359回和紙文化研究会 2022)
  • 仮想展開画像を用いた2D U-Netにおける僧帽筋と隣接する骨格筋の認識
    (医用画像情報学会(MII)令和4年度秋季(第194回)大会 2022)
  • 体幹部CT画像におけるU-Netを用いた脊柱起立筋と僧帽筋の同時自動認識
    (医用画像情報学会(MII)令和3年度秋季(第191回)大会 2021)
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Education (6):
  • 2022 - 2024 Yashima Gakuen University Lifelong Learning Lifelong Learning
  • 2022 - 2024 The Open University of Japan Faculty of Liberal Arts Department of Liberal Arts
  • 2016 - 2021 Hosei University Faculty of Economics Department of Economics
  • 2007 - 2011 Gifu University Graduate School of Medicine Division of Regeneration and Advanced Medical Sciences
  • 2005 - 2007 Gifu University Graduate School of Medicine Division of Regeneration and Advanced Medical Sciences
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Professional career (6):
  • Ph.D in Regeneration and Advanced Medical Sciences (Gifu University)
  • Master in Regeneration and Advanced Medical Sciences (Gifu University)
  • Bachelor in Engineering (Gifu University)
  • Bachelor of Arts (Economics) (Hosei University)
  • Bachelor of Liberal Arts (The Open University of Japan)
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Work history (11):
  • 2024/04 - 現在 Sugiyama Jogakuen University
  • 2019/04 - 現在 Aichi Prefectural University School of Information Science and Technology Associate Professor
  • 2021/04 - 2024/03 Aichi Prefectural University Research Promotion Bureau Director
  • 2019/04 - 2023/09 Sugiyama Jogakuen University School of Cross-Cultural Studies Part-time lecturer
  • 2019/09 - 2022/03 Nagoya Bunri University School of Information and Media Studies lecturer
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Committee career (11):
  • 2023/02 - 現在 Digital Agency デジタル推進委員
  • 2020/12 - 現在 Artificial Intelligence in Radiology Review Editor on the Editorial Board
  • 2019/08 - 現在 日本放射線技術学会 論文特集号「AIによる放射線技術の発展」エディタ
  • 2016/01 - 現在 Radiological Physics and Technology誌 Reviewer
  • 2014/03 - 現在 電気学会 査読員
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Awards (13):
  • 2023/12 - Workshop on Informatics 2023 Honorable Mention
  • 2019/10 - 2019 IEEE 8th Global Conference on Consumer Electronics IEEE Japan Council WIE Best Poster Award Automatic Classification of Hemp and Cotton in Digital Macro Photography Using VGG-16 for Nondestructive Paper Analysis
  • 2019/01 - International Forum on Medical Imaging 2019 Best Paper Award Initial study on the classification of amyotrophic diseases using texture analysis and deep learning in whole-body CT images
  • 2017/06 - Japanese Society of Radiological Technology 第73回日本放射線技術学会総会学術大会 CyPos Silver Award 3Dプリンタを用いた多目的疑似乳房モデルの構築に関する検討
  • 2016/11 - Workshop on Informatics 2016 Best Poster Award
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Association Membership(s) (6):
Sigma Xi ,  JAPANESE SOCIETY OF RADIOLOGICAL TECHNOLOGY ,  IEEE ,  電子情報通信学会 ,  MEDICAL IMAGING AND INFORMATION SCIENCES ,  THE JAPANESE SOCIETY OF MEDICAL IMAGING TECHNOLOGY
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