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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)

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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)Head and neck tumor segmentation in PET/CT: The HECKTOR challenge., , , , , , , , , and 17 other author(s). Medical Image Anal., (2022)Indirect deformable image registration using synthetic image generated by unsupervised deep learning., , , , , , , , , and . Image Vis. Comput., (2024)New Deep Learning-Based Approach for Dysphagia Assessment from Videofluoroscopy Swallowing Studies., , , , , , and . ISBI, page 1-4. IEEE, (2024)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)Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma., , , , , , and . EMBC, page 1667-1670. IEEE, (2020)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)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)Exploring Uncertainty for Clinical Acceptability in Head and Neck Deep Learning-Based OAR Segmentation., , , , , and . ISBI, page 1-4. IEEE, (2023)