Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer

Postmortem Computed Tomography and Computed Tomography Angiography

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Repeatability and reproducibility of radiomic features: A systematic review

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Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation

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Radiomics and radiogenomics in lung cancer: A review for the clinician

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Radiomic features analysis in computed tomography images of lung nodule classification

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Lung Nodule Detection via Deep Reinforcement Learning

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Imaging Phenotyping Using Radiomics to Predict Micropapillary Pattern within Lung Adenocarcinoma

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Quantitative Computed Tomography Features for Predicting Tumor Recurrence in Patients with Surgically Resected Adenocarcinoma of the Lung

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Dynamic fractal signature dissimilarity analysis for therapeutic response assessment using dynamic contrast-enhanced MRI

(2016) Chunhao Wang et al.   MEDICAL PHYSICS

Applications and limitations of radiomics

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Radiomics: Images Are More than Pictures, They Are Data

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Radiomic phenotype features predict pathological response in non-small cell lung cancer

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External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma

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Lung cancer—a fractal viewpoint

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Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma

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Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

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How Long Should Small Lung Lesions of Ground-Glass Opacity be Followed?

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Correction: Revealing Topological Organization of Human Brain Functional Networks with Resting-State Functional near Infrared Spectroscopy

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Imaging-Based Tumor Treatment Response Evaluation: Review of Conventional, New, and Emerging Concepts

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Variability of Lung Tumor Measurements on Repeat Computed Tomography Scans Taken Within 15 Minutes

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The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

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Image Subtraction Facilitates Assessment of Volume and Density Change in Ground-Glass Opacities in Chest CT

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