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The MELBA Journal is excited to announce a new initiative that aims to increase engagement between authors and readers, and spotlight high quality papers.
We plan to have an online (virtual) symposium, multiple times a year, where two or three papers that were previously published in MELBA, will be presented by the authors and interactively discussed in detail. Each paper will have a dedicated reading group that might include editor(s) and reviewer(s) involved in the evaluation of the paper and other expert researchers in the field. This group will lead the live discussion with the author(s) of the paper during the symposium, where audience members will be welcome to participate too.
The choice of papers will be made based on feedback from readers, reviewers, and editors. The timing of the symposium and selected papers will be posted later.
We are excited to unveil our new, in-house MELBA website, which will enable more information and context about each published paper. Authors are invited to provide extra links, videos, and presentation as companion documents to the PDF. The publishing editor can be contacted to add or modify this extra content, even after publication.
The submission and reviewing process is still hosted on Scholastica.
We are pleased to announce the first MELBA special issue on selected papers from the Medical Imaging with Deep Learning (MIDL) conference held virtually, also for the first time, in Montreal from July 6 to 9, 2020. The annual MIDL conference attracts world-class researchers, engineers, as well as clinicians, who develop novel algorithms to solve medical imaging problems using deep learning. The virtual conference had 3,575 registered participants. Two submission tracks were received through the OpenReview system, 148 full papers and 106 short papers. The conference selection had 65 full papers and 40 short papers. A smaller subset of 20 papers were invited to submit an extended journal version to this MELBA special issue, based on careful examination of the submission, AC, reviewer and rebuttal comments. These submissions have gone through a new thorough review process. The final selection of 8 papers covers various topics, including learning under uncertainty, image generation and reconstruction, now presented in this MELBA special issue. All papers can be found on the MELBA website: https://new.melba-journal.org/issues/midl20.html
We are pleased to announce that MELBA has published its first article: “An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation”. This paper presents an extension of the authors’ MIDL 2020 paper and is included in the MIDL 2020 Special Issue.