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Scientific Reports|July 2, 2025
Auto-Segmentation via deep-learning approaches for the assessment of flap volume after reconstructive surgery or radiotherapy in head and neck cancerJuliette Thariat, Zacharia Mesbah, Youssef Chahir, et al.Scientific Reports|May 13, 2026
Robust automatic soft tissue flap segmentation using a challenging case-enriched nnU-Net in head and neck CT imagesAbir Fathallah, Zacharia Mesbah, Alice Blache, et al.Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|June 25, 2024
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challengeGašper Podobnik, Bulat Ibragimov, Elias Tappeiner, et al.Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|December 30, 2025
AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain GeneralizationJakob Dexl, Sergios Gatidis, Marcel Früh, et al.Medical Image Analysis|July 5, 2024
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challengeYang Nan, Xiaodan Xing, Shiyi Wang, et al.Pageof 1