Submission

Authors should prepare a manuscript of 8-10 pages, including references (same as MICCAI main conference). The manuscript should be formatted according to the Lecture Notes in Computer Science (LNCS) style and anonymized. We will have a preference to publish proceedings following MICCAI Springer’s publication model.
Submissions exceeding page limit will be rejected without review.
Latex style files can be found from Springer, which also contains Word instructions. The file format for submissions is Adobe Portable Document Format (PDF). Other formats will not be accepted.

All submissions will be reviewed by 3 reviewers. Authors will be asked to disclose possible conflicts of interest, such as cooperation in the previous two years.
Care will be taken to avoid reviewers from the same institution as the authors.
AI4Treat reviewing is double blind. Please review the Anonymity guidelines of MICCAI main conference, and confirm that the author field does not break anonymity.

Supplemental material submission is optional, following same deadline as the main paper. Contents of the supplemental material would be referred to appropriately in the paper, while reviewers are not obliged to read them.

Submissions should be original, no paper of substantially similar content should be under peer review or has been accepted for a publication elsewhere (conference/journal, not including archived work).

The proceedings of AI4Treat 2023 will be published as part of the joint MICCAI Workshops proceedings with Springer (LNCS)

Abstract submissions are due September 12th on the CMT system for online submission. A template is available at this link.

These abstracts must be up to one page in length (excluding references) and can pertain both completed or preliminary research.

All abstracts will be reviewed by two reviewers, and acceptance will be communicated by September 15th.

AI4Treat - MICCAI+ESR joint workshop @MICCAI2023