STS 2024 : 2th Semi-supervised Teeth Segmentation Challenge and Workshop

MICCAI 2024, MARRAKESH, MOROCCO

October 6-10, 2024

You should ⬇️download the form, sign it, and then, send it to our contact email. Once submitted, you'll get our challenge dataset download link. For more details, please check below.

🤖 Call for Papers

We invite participants to submit their work to the workshop as full papers. Indeed, the prerequisite for submission is to participate in the challenge and successfully submit the algorithm Docker and generate prediction results for the independent test set, otherwise we will desk reject the corresponding submission. BESIDES, PLEASE CHECK HERE REGULARLY IN CASE OF CHANGES TO POLICIES AND NEW INFORMATION.

Topics

This workshop event, called Supervised and Semi-supervised Multi-Structure Segmentation and Landmark Detection in Dental Data, is host three challenges of MICCAI 2024. Therefore, as long as you successfully participate in any of these three challenges, you can submit your work:

Submission Guidelines

Submission Site: https://openreview.net/group?id=MICCAI.org/2024/Workshop/ToothFairy

Important Dates: All submissions will be handled electronically via the workshop's OpenReview Website. The submission deadline is September 30, 2024. The decision to authors will be release until October 15, 2024.

Paper Format: Submitted papers (.pdf format) must use the Springer LNCS Latex Template. Please remember to add an abbreviated paper Title and Authors. Authors are prohibited from modifying the templates. We are concerned about modifications to margins, line spacing, font type, and font size of the paper only. If an author wishes to use other packages, it is the author's responsibility to ensure the additional package does not alter the template.

Length: Papers should be at least 8 pages, including all text and figures. There is no limit to the pages of references.

Review Process: Our review process is single-blind, meaning that reviewers will know the identities of the authors, but authors will not know the identities of the reviewers.

FAQ