Workshop Chair: Prof. Hiroki Takada , University of Fukui, Japan. takada@u-fukui.ac.jp .
We are pleased to announce the following special session themes and warmly invite your active participation and presentations: .
● Computational Model for Biosignals and Biomedical Imaging
● Contributions of Radiological Technology to Computer Science and Education
● Information Education Utilizing Generative AI
Through these sessions, we hope to share cutting-edge research and practical case studies on topics such as the contributions of radiology to computer science and education, computational models for biosignals and biomedical imaging, and information education utilizing generative AI. Our goal is to foster interdisciplinary exchange and create new collaborations.
We sincerely hope that this Special Workshop will serve as a valuable opportunity for information exchange and networking, contributing to the advancement of smart healthcare and the realization of a healthy society. We look forward to welcoming many participants.
Prof. Hiroki TAKADA, is a tenured Professor in the Department of Human and Artificial Intelligent Systems, the Graduate School of Engineering, University of Fukui, Japan. He is also the Co-Director of the Nonlinear Science Lab. His research is centered on the nonlinear analysis of time sequences. In his research, mathematical models have been obtained from the data sequences in Economics, Meteorology, and Erectrophysiology based on the stochastic process theory. He also received the Organization Contribution Award from the International Conference of Computer Science and Education (ICCSE) in 2020. Prof. Takada also serves as an editor in Environmental Health and Preventive Medicine and an editor-in-chief of Forma. He is a member of IEEE, Physical Society of Japan, and other organizations.
Hiroki TAKADA, University of Fukui, Japan. takada@u-fukui.ac.jp
In today’s world, academically examining the safety of viewing them is necessary where digital images and videos are flooding our homes. In this section, the new development of the biosignals and the biomedical Imaging are introduced and utilized in this field. Mathematical models including the artificial intelligence have been regarded as fundamental technique for the bio-signal. In connection with 5G/beyond 5G technology and networks, the biosignals and their utilization have been attracting attention. The application of the AI, which has made remarkable progress in recent years, to this field will also be discussed.
This invited session will collect papers of the following subjects, but not limited to:
● Machine Learning/AI
● Biomedical Imaging
● Control and Communication
● Deep Learning
● Mechatronics and Robotics
● Visualization of Big Data
● Techniques, Models, and Algorithms
Dr. Akihiro Sugiura (Radiology, Gifu University of Medical Science)
Prof. Masami Niwa (Gifu University of Medical Science)
Dr. Yuta Umeda (Gifu University of Medical Science)
The central theme of this Special Workshop is "A Healthy Society Realized through Smart Healthcare." This event will bring together cutting-edge research and practical case studies from around the world in the fields of computer science and its education, aiming to facilitate in-depth discussions on how advancements in digital technology and artificial intelligence are transforming the medical field and influencing society at large.
In this special session, we cordially invite experts and contributors from the field of radiology to share their insights and work in the following areas:
● General radiography (X-ray imaging)
● Computed tomography (CT)
● Magnetic resonance imaging (MRI)
● Ultrasonography (ultrasound)
● Mammography
● Bone densitometry
● Contrast-enhanced radiography and angiography
● Nuclear medicine (radioisotope examinations)
● Radiation therapy
● Quality and safety management of radiological equipment
● Radiation exposure management
● AI-driven analysis and digitalization of medical imaging
● Teleradiology and remote medical care
● Medical safety management and education
We welcome a broad range of presentations encompassing clinical practice, research, and education in these fields, as well as initiatives promoting smart healthcare and case studies showcasing the application of AI and ICT in medical contexts.
We look forward to your active participation and valuable presentations in this special session, and sincerely appreciate your engagement despite your busy schedules.
Dr. Ryohei Hasegawa (Affective Eng,, National Institute of Advanced Industrial Science and Technology )
Stay tuned for more details!