Recent advances in health informatics, artificial intelligence, and sensing techniques have generated increasing interest from both industry and academia. Deep learning technology, which has made significant progress in various fields such as natural language recognition (e.g., ChatGTP), has further fueled this interest. As such, the session titled "Deep Learning Technology for Biomedical Signals and Images Applications" will bring together researchers and experts to present and discuss the latest developments and technical solutions related to advances in deep learning for signal and image processing of bioelectronic devices. This session will feature original, unpublished articles focusing on theoretical analysis, biomedical signal and image processing, novel system architecture construction and design, experimental studies, and wearable device development.
Topics/Areas
• Biomedical Signal Processing
• Biomedical Imaging and Image Processing
• Bioinformatics and Computational Biology, Systems Biology & Modeling Methodologies
• Cardiovascular and Respiratory Systems Engineering
• Neural and Rehabilitation Engineering
• Therapeutic and Diagnostic Systems, Devices and Technologies & Clinical Engineering
• Healthcare Information Systems & Telemedicine
• Biomedical Engineering Education
• Technologies for Active Ageing and Wellbeing
Manuscripts should be submitted in PDF format and formatted using the
IEEE 2-column format Paper submitted here
