Medical Image Analysis

Dear Colleagues,

Medical Image Analysis has commonly enjoyed leveraging and incorporating techniques from the wider field of Computer Vision. On the one hand, compared to natural images (photography), medical images often present relatively lower variability of anatomy, orientation, and field-of-view; on the other hand, clinical applications necessitate much stricter requirements on accuracy. In many fields, recent neural-network based end-to-end machine learning approaches have shown great success and have had a remarkable impact, especially thanks to availability of large annotated datasets. Their effects in Medical Image Analysis are also prominent, although the lack of large, curated, annotated datasets and sometimes prohibitive 3D data sizes may pose limitations.

In this Special Issue, we aim to cover recent advances and applications in Medical Image Analysis. We are particularly interested in exploring novel applications of machine and deep learning approaches, although submissions are open to wider range of medical image processing topics. Some potential areas of interest include methods for dealing with low-number (lack) of annotations; optimal/efficient approaches to procure annotations; scalable methods for multi-organ, multi-tissue analysis applications; approaches to deal with non-normalized sequences/imaging data; and techniques to bring in population information.

We welcome submissions on topics including, but not limited to, the following:

• Novel applications of deep or machine learning
• Applications in medical imaging, acquisition, reconstruction, denoising, super-resolution, segmentation, registration, tracking, and others
• Novel medical imaging techniques and markers
• Applications in different medical image modalities, including MR, X-ray, PET, US imaging (but excluding biological or microscopy imaging)

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 submissions that pass pre-check are 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. Journal of Imaging is an international peer-reviewed open access monthly 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 1800 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.

• Image processing
• Machine learning
• Segmentation
• Registration
• Computer aided diagnosis
• Deep neural networks
• Interactive applications
• Image reconstruction