Submitting a paper (min 6 pages, max 12 pages) is mandatory for a corresponding submission in either task to be eligible in the official ranking. The paper can describe all three allowed submissions per task (see Submissions Instructions). When participating in multiple tasks, you can either submit a single paper reporting all methods and results or several papers.

The organizers will coordinate the review of submitted papers (independently from the MICCAI conference reviews) and publish a Lecture Notes in Computer Science (LNCS) volume in the challenges subline. The submission platform (EasyChair) can be found here: https://easychair.org/conferences/?conf=hecktor2022

Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer’s proceedings LaTeX templates are also available in Overleaf. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. Please append this consent-to-publish form at the end of the pdf for the submission on easychair (concatenate the pdf form with the paper).

In order to link your paper with your grand challenge team, please add your team name at the end of the abstract. We recommend authors to keep sections on task motivation and data description very and short and citing the HECKTOR 2023 overview paper (see below). There is no limit on the number of authors. 

The following papers must be cited:

[Andrearczyk et al. 2022] Andrearczyk V, et al. "Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT", in: Head and Neck Tumor Segmentation and Outcome Prediction,  (2023).

[Andrearczyk et al. 2023] Andrearczyk, V., et al. "Automatic head and neck tumor segmentation and outcome prediction relying on FDG-PET/CT images: findings from the second edition of the HECKTOR challenge." Medical Image Analysis (2023): 102972.

We encourage the participants to release their code and add the GitHub link to their papers. 

The top-ranked teams with a paper submission will be contacted to prepare an oral presentation for the half-day event at MICCAI 2022.

Other post-challenge paper submissions can be made to conferences and journals.