The workshop seeks high quality, original, and unpublished work on machine learning methods for image reconstruction. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style of up to 8-pages and 2-pages of references (same as MICCAI main conference) papers using the CMT system. This workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI conference.
Authors of selected best papers will be invited to submit extended versions to a special issue of MELBA, Machine Learning for Biomedical Imaging.