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Machine Learning for Biomedical Imaging

Welcome to Melba (The Journal of Machine Learning for Biomedical Imaging), 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.

You can read more about the mission statement of the journal, or jump right away to the journal publications. For authors, instructions are available here.



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2022/07/01 – MELBA-IPMI 2021 special issue

Information Processing in Medical Imaging (IPMI) is one of the longest-running conference series in medical imaging, founded in 1969. [...] IPMI 2021 received 200 valid submissions, of which 59 were accepted for publication at the conference. From these, 29 papers were invited to submit an extended journal version to the first special edition of the MELBA journal associated with an IPMI conference. Out of the invited papers, we received 11 submissions, which all underwent a new peer-review process. [...] These papers cover the topics discussed at the conference well, ranging from uncertainty estimation, via learning hyperparameter tuning, to designing and utilizing geometric priors.

Conference website: http://ipmi2021.org/

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2022/06/21 – RSS feed for new articles and blog-posts

We are happy to unveil a new RSS feed (available at https://www.melba-journal.org/feed.rss), that includes both research articles and blog posts.

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2022/05/27 – Recordings of the first MELBA symposium

The recordings of the first MELBA symposium are now available online.

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