Special Issue "Machine Learning for Biomedical Imaging and Sensing"
Deadline for manuscript submissions: closed (31 August 2020).
Interests: machine learning; imaging; drug discovery; data science; robotics and software development
Special Issues, Collections and Topics in MDPI journals
The use of machine learning techniques within the field of Biomedical Imaging & Sensing has risen in recent years. Applications within the literature have included diagnostics, image reconstruction, and the generation of synthetic human data. In terms of methodologies employed within this field, the last few years have seen the rise of deep learning techniques within this field, and the increasing use of novel methodologies such as generative adversarial networks and natural language generation. This field is also becoming increasingly accessible to researchers in Medicine and Biology who have not traditionally been machine learning practitioners, due to the availability of software libraries such as Keras and TensorFlow, and software packages such as WEKA.
The topics of interest include, but are not limited to, the following:
- Classical machine learning techniques for image analysis
- Machine learning and health outcomes
- Machine learning for biomedical sensing
- The generation of synthetic patient data
- Quantitative image analysis
- Deep learning and diagnosis
- Biomedical image reconstruction
- The generation of natural language descriptions of biomedical images
- Computer aided diagnosis
Dr. Andy Taylor
Dr. Jonine Figueroa
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Machine learning
- Image analysis
- Generative adversarial networks
- Deep learning
- Image reconstruction
- Natural language generation
- Artificial intelligence
- Health informatics