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Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT., , , , , , and . ML-CDS@MICCAI, volume 13050 of Lecture Notes in Computer Science, page 59-68. Springer, (2021)Head and neck tumor segmentation in PET/CT: The HECKTOR challenge., , , , , , , , , and 17 other author(s). Medical Image Anal., (2022)Deep Learning-Based Segmentation of Head and Neck Organs-at-Risk with Clinical Partially Labeled Data., , , , , and . Entropy, 24 (11): 1661 (November 2022)Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT., , , , , , , , and . HECKTOR@MICCAI, volume 12603 of Lecture Notes in Computer Science, page 1-21. Springer, (2020)Statistical Shape Model to Generate a Planning Library for Cervical Adaptive Radiotherapy., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 38 (2): 406-416 (2019)Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT., , , , , and . EMBC, page 4731-4735. IEEE, (2022)Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT., , , , , , , , , and 21 other author(s). HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 1-30. Springer, (2022)Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans., , , , , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 33-43. PMLR, (2020)Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma., , , , , , and . EMBC, page 1667-1670. IEEE, (2020)Exploring Uncertainty for Clinical Acceptability in Head and Neck Deep Learning-Based OAR Segmentation., , , , , and . ISBI, page 1-4. IEEE, (2023)