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3D attenuation map reconstruction using geometrical models and free form deformations., , , and . IEEE Trans. Medical Imaging, 19 (5): 404-411 (2000)Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images., , , , , , , , , and 1 other author(s). HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 1-37. Springer, (2021)Contrast enhancement in emission tomography by way of synergistic PET/CT image combination., , , , and . Comput. Methods Programs Biomed., 90 (3): 191-201 (2008)A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET., , , , and . IEEE Trans. Medical Imaging, 28 (6): 881-893 (2009)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)Image Change Detection Using Paradoxical Theory for Patient Follow-Up Quantitation and Therapy Assessment., , , , , , , and . IEEE Trans. Medical Imaging, 31 (9): 1743-1753 (2012)Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge., , , , , , , , , and 2 other author(s). Medical Image Anal., (December 2023)Reliability of PET/CT shape and heterogeneity features in functional and morphological components of Non-Small Cell Lung Cancer tumors: a repeatability analysis in a prospective multi-center cohort., , , , , , and . CoRR, (2016)Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images., , , , , , , , , and 1 other author(s). CoRR, (2022)Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology., , , , , and . Comput. Medical Imaging Graph., (December 2023)