Configurable Learning 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.


Hidenori Sakanashi,
Team Leader
Information
List of Publications
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.
Atsushi Ikeda (Univ. of Tsukuba Hospital), Hirokazu Nosato, Yuta Kochi, Takahiro Kojima (Univ. of Tsukuba Hospital), Koji Kawai (Univ. of Tsukuba Hospital), Hidenori Sakanashi, Masahiro Murakawa and Hiroyuki Nishiyama (Univ. of Tsukuba Hospital). "Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence,". Journal of Endourology. 2020, vol.34, no.3. p.352-358, DOI:10.1089/end.2019.0509.
Researcher Profile
Photo | Name and role | Field of Expertise | E-mail address HP |
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Team Leader Hidenori Sakanashi |
Clinical decision support system, Image recognition, Evolutionary computation | |
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Senior Researcher Yuji Kasai |
Embedded system, hardware, signal processing, high speed data transmission, and radio communication | |
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Senior Researcher Masaya Iwata |
Pattern recognition, Optimization algorithm | |
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Senior Researcher Hirokazu Nosato |
Applications Research based on Biomedical Imaging and Evolutionary Computation | |
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Senior Researcher Yuuji Ichisugi |
BESOM | |
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Senior Researcher Naoto Takahashi |
Natural Language Processing | |
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Senior Researcher Izumi Takeuti |
Science of Logic | |
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Manager (Concurrent post) Hidemoto Nakada |
Distributed Computing, Parallel Computing | |
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Innovation Coordinator |
Parallel computer architecture, Adaptive digital circuit, Cloud-based distributed sensing system | |
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AIST Postdoctoral Researcher Kazuki Uehara |
Human-cooperative AI, Image recognition, Intelligent transport system | |
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Research Assistant Aiga Suzuki |
Neural Network, Statistical Machine Learning, Computer Vision | |
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Research Assistant Kaiwen Yang |
Medical image detection, Deep learning | |
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Research Assistant Cristovao Paulino |
Varietional Autoencoder | |
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Research Assistant Yuta Kochi |
Medical image processing, Anomaly detection | |
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Research Assistant Daigo Nitta |
Medical image processing, deep learning | |
Research Assistant Takumi Yamaguchi |
Deep learning, Image recognition | ||
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Research Assistant Koki Shimoda |
Deep Learning, Image Processing |