MIDL 2021 submissions follow two tracks: full and short papers. All accepted full papers will be published as a volume in the Proceedings of Machine Learning Research. We will be using openreview.net as a submission and reviewing platform, with a two-week period for author rebuttal and discussion for full-paper submissions.
To submit a paper, authors need to have an updated OpenReview account. Visit http://openreview.net/profile after logging in.
After the registration period is over the Submission button will be inactive. To upload your pdf, select your paper and press “Revision”.
Paper registration step (important)
To be able to upload the PDF of a full or short paper before the submission deadlines, authors have to create a submission on openreview with title, abstract and author information a week in advance (paper registration deadline).
To prepare your submission to MIDL 2021 either as a full or short paper, please use the LaTeX style files provided at: https://github.com/MIDL-Conference/MIDLLatexTemplate.
Dual submission policy
Submissions that are substantially similar to papers that have been previously published, or accepted for publication, or that are submitted in parallel to other conferences with proceedings or journals, are not allowed.
In addition to original work, authors can choose to submit a shortened version of a recently (within the year 2019 or 2020) published, or submitted, journal publication to foster dissemination of high-quality work. Submissions that are substantially similar to versions that have been accepted or submitted in parallel to other conferences with proceedings are not allowed.
In both cases, dual submission of your paper to a non-peer reviewed website like arXiv is allowed. Similarly, submissions that have been presented at non-archival workshops (i.e., venues that do not have publication proceedings or publish only a very short abstract) do not violate the policy.
The policy is enforced during the whole reviewing process period.