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Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches.

, , , , , , , and . CoRR, (2019)

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Head and neck tumor segmentation in PET/CT: The HECKTOR challenge., , , , , , , , , and 17 other author(s). Medical Image Anal., (2022)Squeeze-and-Excitation Normalization for Brain Tumor Segmentation., , , and . BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 366-373. Springer, (2020)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)Prognosis classification in glioblastoma multiforme using multimodal MRI derived heterogeneity textural features: impact of pre-processing choices., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850W. SPIE, (2016)Regarding "Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm" By DP. Onoma et al., and . Comput. Medical Imaging Graph., (2015)Image Enhancement With PDEs and Nonconservative Advection Flow Fields., , , , , and . IEEE Trans. Image Process., 28 (6): 3075-3088 (2019)Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT Images., , , , , and . HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 154-165. Springer, (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)Conditional partial volume correction for emission tomography: A wavelet-based hidden Markov model and multi-resolution approach., , , , , , , and . ISBI, page 1319-1322. IEEE, (2008)Contrast enhancement in emission tomography by way of synergistic PET/CT image combination., , , , and . Comput. Methods Programs Biomed., 90 (3): 191-201 (2008)