Latest news


New website!

2021/10/22

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.


MELBA-MIDL 2020 special issue

2021/09/24

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


MELBA publishes its first article!

2020/12/11

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.


MELBA submission timeline

2020/07/06

MELBA is actively accepting article submissions! See the Author instructions page for more information.