Human-AI Collaborative Mechanism Research Team
Team Outline
🏁Team's Research Theme
Infrastructure diagnosis by learning-type acoustic analysis technology
In the maintenance of social and industrial infrastructure, primary checking such as hammering test, close visual inspection and palpation, is commonly carried out by skilled-inspectors. It is important that not to overlook an anomaly, however, the checking process currently depends deeply on the experience and sense of inspectors. Furthermore, the number of skilled-inspector is decreasing due to aging. Therefore, we are engaging on developing AI-aided diagnosis systems for hammering test of concrete structures, detection of abnormal vibration of industrial machinery such as rotating bearings. By quantification of the checking results using an analysis technique based on machine learning, rather than relying on human senses, our system will prevent mistakes and variation of checking quality that lead to oversight of anomalies.

Medical diagnosis supporting system using image recognition technique
With the rapid progress of information technology and computerization in the medical field, more sophisticated medical devices are developed recent years. However, the some kinds of medical devices, such as endoscope and sonography, require high degrees of skill and experience to medical doctors, because they have to operate them and perform examination simultaneously. The pragmatic methods to extract the meaningful information from data obtained by the medical devices are not established yet, since it is difficult to give rapid and accurate diagnosis from images taken under irregularly variable conditions in human body. So we are trying to realize medical diagnosis supporting system using both image processing and pattern recognition technology based on machine learning. We carry out research and development for achieving reduction of doctorsf workload and moreover, achieving the society where every person can receive advanced medical care.


Hirokazu NOSATO,
Team Leader
Information
List of Publications
Izumi Takeuti. "Formalisation of Bayesian Concealment,". Japan Journal of Industrial and Applied Mathematics. 2021, vol. 38, no. 2. p. 677-692.
Paulino Cristovao, Hidemoto Nakada, Yusuke Tanimura, Hideki Asoh. "Generating In-Between Images Through Learned Latent Space Representation Using Variational Autoencoders,". IEEE Access, 2020, Vol. 8, 149456-149467, DOI: 10.1109/ACCESS.2020.3016313.
Jia Qu (Mitsubishi Electric Co.), Nobuyuki Hiruta (Toho Univ. Sakura Medical Center), Kensuke Terai (Toho Univ. Sakura Medical Center), Hirokazu Nosato, Masahiro Murakawa and Hidenori Sakanashi. "Stepwise Transfer of Domain Knowledge for Computer-Aided Diagnosis in Pathology Using Deep Neural Networks,". In: Roque A. et al. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2019. Communications in Computer and Information Science, vol 1211. Springer, Cham, 2020. p.105-119, DOI:10.1007/978-3-030-46970-2_6.
Researcher Profile
Photo | Name and role | Field of Expertise | E-mail address HP |
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Leader, Team Hirokazu NOSATO |
Development of computer aided diagnosis/detection for medical images using artificial Intelligence (AI), Development of AI technologies that can be easily constructed and introduced with small data | |
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Senior Researcher Izumi TAKEUTI |
Science of Logic | |
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Senior Researcher Masaya IWATA |
Development of hammering sound analysis technology for social infrastructure using AI | |
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Senior Researcher Yuuji ICHISUGI |
Research and development of brain-based artificial intelligence | |
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Researcher Wonjik KIM |
Development of sensor data analysis technology using artificial intelligence, Development of artificial intelligence technology that can be constructed and deployed with small amounts of training data | |
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Research Assistant Ryuunosuke KOUNOSU |
Research on artificial intelligence (AI) technologies that can be easily constructed and introduced | |
Research Assistant Teruya YAMAMOTO |
Prediction of delirium by deep learning using multimodal medical information | ||
Concurrent Post/Research Team Tomoko OGURI |
Senior Researcher, Emission and Exposure Analysis Group, Research Institute of Science for Safety and Sustainability, Department of Energy and Environment | ||
Concurrent post/Research Team Ryousuke NAKAMURA |
Principal Research Manager, Artificial Intelligence Research Center, Department of Information Technology and Human Factors | ||
Concurrent post/Research Team Yusuke TANIMURA |
Leader, Team, Continuum Computing Architecture Research Team, Digital Architecture Research Center, Department of Information Technology and Human Factors |