Dear Colleagues,

In recent years, the use of massive amounts of data has become critical in the public health sector. We have seen several cases throughout this COVID-19 outbreak. Numerous efforts have been made to forecast the spread of this fatal epidemic. Computer vision is critical in this field. As with past years, we have witnessed significant advancements in cancer detection, COVID x-ray processing, brain signal analysis, and stress analysis using computer vision and machine learning. As such, we want to focus on tackling challenges in the public health sector through the use of signal/image processing, machine learning, and data science in this Special Issue. This will attract healthcare practitioners who have access to fascinating data sources but lack the competence necessary to properly use machine learning techniques.

We would like to extend an invitation to all prospective researchers to submit publications to this Special Issue.

The main topics of this Special Issue include but are not limited to the following:

• Information fusion and knowledge transfer in biomedical and healthcare applications;
• Biomedical image processing for health care system enhancement;
• Biomedical signal processing, environmental data processing;
• Imaging sensing tools, technologies, and applications in biomedical research;
• Medical image compression;
• Drug discovery, patient safety, and clinical risk management;
• Cancer discovery;
• COVID-19 analysis, and prediction;
• Effects of COVID-19 vaccine on day-to-day life;
• Brain signal analysis for health state estimation;
• Sleep analysis;
• Federated learning for biomedical and healthcare data.

Prof. Dr. Jong-Myon Kim
Dr. Md Junayed Hasan
Dr. Farzin Piltan
Dr. Jia Uddin
Guest Editors

Manuscript Submission Information

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• brain signal analysis
• machine learning
• deep learning
• cancer discovery
• COVID-19 analysis
• sleep analysis
• cancer detection
• drug discovery
• EEG analysis
• X-ray image analysis
• CNN
• RNN