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Dear participants,

We're excited to announce that our challenge report paper has been accepted and published as an open-access article in the Radiotherapy & Oncology journal. 🎉🎊 This marks the successful conclusion of the HaN-Seg Challenge, and we want to extend our heartfelt thanks to each of you for your participation and contributions! 🙌

We encourage all challenge participants and researchers who worked on the challenge task in the post-challenge phase to publish your work in separate publications, where you can provide detailed descriptions of your methods, compare your work to related studies, and discuss the results from different perspectives. To facilitate this, we have provided a short guide related to existing HaN-Seg publications that might be of interest to you: 📚

  • The HaN-Seg dataset is publicly available under the CC BY-NC-ND 4.0 license. Details regarding acquisition parameters and data curation can be found in our publication [1]. Please note that citing this work is required if you use the HaN-Seg dataset.
  • A sister publication [2] describes inter-observer and inter-modality variability analysis in OAR contouring from head and neck CT and MR images for the same dataset, providing a good baseline for contextualizing results obtained with your automatic methods. Additionally, you can compare your results to our multimodal segmentation algorithm results presented at MICCAI 2023 [3]. Note that in our experiments we used 5-fold cross-validation and segmented the overlapping region of MR and CT images, which differs from the challenge setup.
  • Lastly, we encourage you to cite our joint publication with challenge results [4].

Please do not hesitate to reach out if you need further details or have any collaboration ideas. 🚀💡

Thank you once again for your participation and contributions! 👏

Kind regards,
HaN-Seg Organization Team

[1] Podobnik G, Strojan P, Peterlin P, Ibragimov B, Vrtovec T. HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset. Med Phys. 2023; 50: 1917–1927. 10.1002/mp.16197

[2] Podobnik G, Ibragimov B, Peterlin P, Strojan P, Vrtovec T. vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images. Med Phys. 2024; 51: 2175–2186. 10.1002/mp.16924

[3] Podobnik G, Strojan P, Peterlin P, Ibragimov B, Vrtovec T. Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. Lecture Notes in Computer Science, vol 14223. Springer, Cham. 10.1007/978-3-031-43901-8_71

[4] Podobnik G, Ibragimov B, Tappeiner E, Lee C, Kim JS, Mesbah Z, Modzelweski R, Ma Y, Yang F, Rudecki M, Wodziński M, Peterlin P, Strojan P, Vrtovec T. HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge. Radiother Oncol. 2024; 198:110410. 10.1016/j.radonc.2024.110410