MELBA special issue on image registration
MELBA (The Journal of Machine Learning for Biomedical Imaging) encourages the submission of manuscripts on the general topic of “learning-based medical image registration”. MELBA is a web-based journal devoted to the free and unrestricted access of high quality articles in the broad field that bridges machine learning and biomedical imaging.
Motion estimation, shape matching and multimodal fusion are some of the core applications in medical image registration that have seen substantial progress through the advent of deep learning-based technique over recent years. We invite you to submit full papers or extended conference works that extend the knowledge in this emerging research field. Submissions are invited in all areas of learning-based medical image registration. Topics of interest include, but are not limited to:
- Novel learning-based registration methodology;
- Combinations of learning and non-learning techniques;
- Machine learning and deep learning techniques for registration;
- (Bio)-medical applications of image registration;
- Validation of registration and benchmarking;
- Motion modelling and reconstruction.
We kindly invite researchers to contribute their high-quality original articles on these topics to our Special Issue. We will be considering submissions between now and September 1, 2023. When submitting your manuscript, the authors should use the cover letter to indicate their intention to be considered in the special issue. The editorial team will aim to streamline the reviews and return a decision within 4-6 weeks from submission. Final accepted papers will be highlighted in a special issue that will be collectively published in the fall/winter of 2023.
In conjunction with MIDL 2024 in Paris we are planning to provide an automatic presentation slot for all original papers accepted within this special issue if the authors are interested in showcasing their research to this audience as well.
- Dr. Veronika Zimmer, TU München, Germany;
- Dr. Alessa Hering, RadboudUMC, Netherlands;
- Dr. Mattias Heinrich, University of Lübeck, Germany.