Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

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Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI

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Detection of EGFR Mutations From Plasma of NSCLC Patients Using an Automatic Cartridge-Based PCR System

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Multi-channel multi-task deep learning for predicting EGFR and KRAS mutations of non-small cell lung cancer on CT images

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Cancer statistics, 2020

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Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS

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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 Algorithms

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Molecular Characteristics and Clinical Outcomes of EGFR Exon 19 C-Helix Deletion in Non–Small Cell Lung Cancer and Response to EGFR TKIs

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Non-invasive decision support for NSCLC treatment using PET/CT radiomics

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XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma

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Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

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Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning

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Bone Marrow and Tumor Radiomics at 18F-FDG PET/CT: Impact on Outcome Prediction in Non–Small Cell Lung Cancer

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Value of pre-therapy 18F-FDG PET/CT radiomics in predicting EGFR mutation status in patients with non-small cell lung cancer

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LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity

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Genomics of non-small cell lung cancer (NSCLC): Association between CT-based imaging features and EGFR and K-RAS mutations in 122 patients—An external validation

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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

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A radiogenomic dataset of non-small cell lung cancer

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Determining EGFR-TKI sensitivity of G719X and other uncommon EGFR mutations in non-small cell lung cancer: Perplexity and solution

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Machine Learning for Medical Imaging

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Predictive radiogenomics modeling of EGFR mutation status in lung cancer

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Refining the treatment of NSCLC according to histological and molecular subtypes

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Machine Learning methods for Quantitative Radiomic Biomarkers

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Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

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Identification of plasma microRNAs as novel noninvasive biomarkers for early detection of lung cancer

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microRNAs Derived from Circulating Exosomes as Noninvasive Biomarkers for Screening and Diagnosing Lung Cancer

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The frequency of EGFR and KRAS mutations in non-small cell lung cancer (NSCLC): routine screening data for central Europe from a cohort study

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