Radiomics in medical imaging—“how-to” guide and critical reflection
JE Van Timmeren, D Cester, S Tanadini-Lang… - Insights into …, 2020 - Springer
Radiomics is a quantitative approach to medical imaging, which aims at enhancing the
existing data available to clinicians by means of advanced mathematical analysis. Through …
existing data available to clinicians by means of advanced mathematical analysis. Through …
Machine and deep learning methods for radiomics
Radiomics is an emerging area in quantitative image analysis that aims to relate large‐scale
extracted imaging information to clinical and biological endpoints. The development of …
extracted imaging information to clinical and biological endpoints. The development of …
Radiomics of CT features may be nonreproducible and redundant: influence of CT acquisition parameters
R Berenguer, MDR Pastor-Juan, J Canales-Vázquez… - Radiology, 2018 - pubs.rsna.org
Purpose To identify the reproducible and nonredundant radiomics features (RFs) for
computed tomography (CT). Materials and Methods Two phantoms were used to test RF …
computed tomography (CT). Materials and Methods Two phantoms were used to test RF …
[HTML][HTML] Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
Medical image processing and analysis (also known as Radiomics) is a rapidly growing
discipline that maps digital medical images into quantitative data, with the end goal of …
discipline that maps digital medical images into quantitative data, with the end goal of …
Validation of a method to compensate multicenter effects affecting CT radiomics
Background Radiomics extracts features from medical images more precisely and more
accurately than visual assessment. However, radiomics features are affected by CT scanner …
accurately than visual assessment. However, radiomics features are affected by CT scanner …
Beyond imaging: the promise of radiomics
The domain of investigation of radiomics consists of large-scale radiological image analysis
and association with biological or clinical endpoints. The purpose of the present study is to …
and association with biological or clinical endpoints. The purpose of the present study is to …
Somatic mutations drive distinct imaging phenotypes in lung cancer
Tumors are characterized by somatic mutations that drive biological processes ultimately
reflected in tumor phenotype. With regard to radiographic phenotypes, generally …
reflected in tumor phenotype. With regard to radiographic phenotypes, generally …
Radiogenomics: bridging imaging and genomics
From diagnostics to prognosis to response prediction, new applications for radiomics are
rapidly being developed. One of the fastest evolving branches involves linking imaging …
rapidly being developed. One of the fastest evolving branches involves linking imaging …
Reproducibility of CT radiomic features within the same patient: influence of radiation dose and CT reconstruction settings
M Meyer, J Ronald, F Vernuccio, RC Nelson… - Radiology, 2019 - pubs.rsna.org
Background Results of recent phantom studies show that variation in CT acquisition
parameters and reconstruction techniques may make radiomic features largely …
parameters and reconstruction techniques may make radiomic features largely …
Interpretation of radiomics features–A pictorial review
AA Ardakani, NJ Bureau, EJ Ciaccio… - Computer methods and …, 2022 - Elsevier
Radiomics is a newcomer field that has opened new windows for precision medicine. It is
related to extraction of a large number of quantitative features from medical images, which …
related to extraction of a large number of quantitative features from medical images, which …