MIDL 2020 special issue

We are pleased to announce the first MELBA special issue on selected papers from the Medical Imaging with Deep Learning 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.

The guest editors,
  • Marleen de Bruijne, University of Copenhagen and Erasmus MC;
  • Tal Arbel, McGill University;
  • Ismail Ben Ayed, ÉTS Montréal;
  • Hervé Lombaert, ÉTS Montréal.
Conference website: https://2020.midl.io/