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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)Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients., , , , , , , , , and 6 other author(s). Comput. Biol. Medicine, (2021)Multi-institutional PET/CT image segmentation using federated deep transformer learning., , , , , , , , , and . Comput. Methods Programs Biomed., (October 2023)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)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)Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study., , , , , , , and . J. Digit. Imaging, 36 (4): 1348-1363 (August 2023)Artificial intelligence-driven assessment of radiological images for COVID-19., , , , , , and . Comput. Biol. Medicine, (2021)Personalized brachytherapy dose reconstruction using deep learning., , , , , and . Comput. Biol. Medicine, (2021)Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics., , , , , , , and . Comput. Biol. Medicine, (2022)