Session 01

Applications of Artificial Intelligence and Machine Learning for Biomedical Applications

Session Description

Biomedical applications involve analysis and treatment of physiological electrical activities measured using sensors placed on a living thing, to provide useful information on which decisions can be made. Recently, Artificial Intelligence (AI) and Machine Learning (ML) have received inordinate attention to solving difficult and complex problems related to bio-signals analysis and processing; where the traditional signal processing and conventional machine learning techniques have shown their limitations to solve such problems. Indeed, the recent advances in this area have brought impressive progress to solve several practical, and difficult problems in many fields including medicine, e-health, healthcare, neuroscience, brain-computer interface (BCI), neuro-feedback, robotics, robotic exoskeletons and biometrics, etc. In this context, advanced learning techniques such as deep learning, reinforcement learning, deep reinforcement learning, statistical learning have shown their effectiveness to resolve various problems of detection, classification, clustering, segmentation, control, diagnosis, etc.; and thus becomes useful solutions to be investigated for other open-end problems.
This special session aims to bring together researchers and scientists in the fields of biomedical signal and image processing, AI and ML, to present and discuss the recent advances in learning methods and intelligent approaches for biomedical applications. The goal of this special season is to provide an opportunity to discuss the advancement in medical signal, and image processing theories/algorithms/systems/solutions and technologies. Faculties and researchers from computer science, biomedical engineering and electrical engineering are encouraged to attend the special session. Students working on machine learning, signal and image processing will get immense benefit attending the session.

Recommended Topics

Topics to be discussed in this special session include (but are not limited to) the following:

1. Biomedical signals and image processing for disease detection and prediction
2. Disease detection using machine learning
3. Advanced ML for biomedical data processing (e.g. deep learning, reinforcement learning, deep reinforcement learning, big data analysis, statistical learning…)
4. Medical signal and image processing based computer-aided diagnosis systems
5. Image-guided therapy, treatment monitoring, and planning
6. 2D and 3D modeling of biomedical signal, and image
7. AI for biomedical signal processing, and analysis
8. Advanced biomedical signal and image processing methods with application in medicine, e-health, healthcare, neuroscience, BCI, neuro-feedback, robotics, robotic exoskeletons ,biometrics, etc.

Paper Submission Process

Please submit your paper (in word format) at sumanta.bh@gmail.com with 'Special session on Applications of Artificial Intelligence and Machine Learning for Biomedical Applications' mentioned in the subject line.