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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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Kernel Contraction and Base Dependence., , , and . J. Artif. Intell. Res., (2017)Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis., , , , , , and . CoRR, (2019)Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning., , , , , , and . CoRR, (2019)iNucs: inter-nucleosome interactions., , , , , , , , , and 1 other author(s). Bioinform., 37 (23): 4562-4563 (2021)Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition., , , , , , , , , and 2 other author(s). J. Digit. Imaging, 36 (2): 497-509 (April 2023)Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection., , , , , , , , , and 1 other author(s). Comput. Biol. Medicine, (2022)cis-Regulatory Element Prediction in Mammalian Genomes., , , , , , , , , and 6 other author(s). CSB Workshops, page 203-206. IEEE Computer Society, (2005)Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images., , , , , , , , , and . Comput. Biol. Medicine, (2022)COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients., , , , , , , , , and 39 other author(s). Comput. Biol. Medicine, (2022)Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature., , , , , and . Comput. Biol. Medicine, (2021)