J-GLOBAL ID:200901049628353074   Update date: Jul. 15, 2024

Kagawa Tsuneo

カガワ ツネオ | Kagawa Tsuneo
Affiliation and department:
Research field  (3): Intelligent informatics ,  Perceptual information processing ,  Human interfaces and interactions
Research keywords  (4): Data Mining ,  Anomaly Detection ,  Computer Vision ,  Virtual Reality,Augmented Reality,Mixed Reality
Research theme for competitive and other funds  (23):
  • 2015 - 2018 Development of supporting system for imaging diagnosis using multimodal sensory integration
  • 2015 - 2018 A Study of Multi-modal Immersive Interface to Feel the Structure of Big Data
  • 2015 - 2018 Construction of a Fabrication Platform Based on Evolutional and Recycled Modeling Technology with Glocal Resource Circulation
  • 2012 - 2015 Development of User Interface with Haptization and Sonification for Computer Aided Diagnosis
  • 2012 - 2015 Study on an Information Communication Method with Environmental Integration Based on Personalization of Multisensory Data
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Papers (78):
  • Tsuneo Kagawa, Masaya Ikemoto, Satoshi Ohtake. A robust method of IC seating inspection in burn-in sockets using Hough transform. ICCE-TW2022. 2022. 1-2
  • Tsuneo Kagawa. Development of Borehole Imaging Method with Using Visual-SLAM. Advances in Networked-based Information Systems - The 22nd International Conference on Network-Based Information Systems(NBiS). 2019. 142-153
  • Iku Kitanosono, Toshiyuki Haramaki, Tsuneo Kagawa, Hiroaki Nishino. A vr system for alleviating a fear of heights based on vital sensing and placebo effect. Advances in Intelligent Systems and Computing. 2019. 1036. 62-72
  • Hokuto Tsutsumi, Hiroaki Nishino, Tsuneo Kagawa. A Tactile Assistance for Improving Fingering Skill in Piano Performance. 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018. 2018
  • Tsuneo Kagawa, Shuichi Tanoue, Hiroaki Nishino. Log data visualization and analysis for supporting medical image diagnosis. Advances in Intelligent Systems and Computing. 2018. 611. 785-794
Lectures and oral presentations  (227):
  • Investigation of Limestone Identification Methods Using Deep Metric Learning
  • A Development of a Limestone Discrimination Sensor Using Deep Learning
  • Prediction of Bone Mineral Density from Chest X-ray Image by Convolutional Neural Network Combined with Attention Mechanism
  • 胸部X線画像を用いたマルチタスク学習による骨粗鬆症スクリーニング
    (日本放射線技術学会総会学術大会予稿集 2023)
  • Decision of best colored lighting using machine learning for limestone classification
    (情報科学技術フォーラム講演論文集 2023)
Education (4):
  • - 1993 Oita University
  • - 1993 Oita University Graduate School, Division of Engineering
  • - 1991 Oita University
  • - 1991 Oita University Faculty of Engineering
Professional career (1):
  • (BLANK)
Awards (1):
  • 日本放射線技術学会総会学術大会 CyPos賞(銅賞) 胸部X線画像を用いたマルチタスク学習による骨粗鬆症スクリーニング
Association Membership(s) (4):
IEEE SMC ,  人工知能学会 ,  情報処理学会 ,  電子情報通信学会
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