<p>(a) The CCCs of non-redundant QIF groups under the 15 inter-setting comparisons. Columns are arranged in descending order according to the average CCC of the inter-setting comparisons. Rows are arranged in descending order according to average CCCs of Non-redundant QIF Groups. (b) The clustered 23 non-redundant feature groups and the features in each group.</p
Simple Summary Radiomics has been reported to have potential for correlating with clinical outcomes....
Recently, investigators have illustrated the limited reproducibility in radiomics research preventin...
International audiencePURPOSE: To develop a radiomic model predicting non-response to induction chem...
Radiomics utilizes quantitative image features (QIFs) to characterize tumor phenotype. In practice, ...
Radiomics utilizes quantitative image features (QIFs) to characterize tumor phenotype. In practice, ...
International audienceAbstract Nonbiological differences related to CT scanner type can be removed f...
Background and purpose: In the retrospective-prospective multi-center "Blue Sky Radiomics” study (NC...
Radiomics is an objective method for extracting quantitative information from medical images. Howeve...
Background: Radiomic features are increasingly used in CT of NSCLC. However, their robustness with r...
<div><p>Consistent pixel sizes are of fundamental importance for assessing texture features that rel...
Consistent pixel sizes are of fundamental importance for assessing texture features that relate inte...
International audienceObjectives: Quantitative characterization of tumor heterogeneity using PET ima...
Simple Summary Radiomics has been reported to have potential for correlating with clinical outcomes....
Recently, investigators have illustrated the limited reproducibility in radiomics research preventin...
International audiencePURPOSE: To develop a radiomic model predicting non-response to induction chem...
Radiomics utilizes quantitative image features (QIFs) to characterize tumor phenotype. In practice, ...
Radiomics utilizes quantitative image features (QIFs) to characterize tumor phenotype. In practice, ...
International audienceAbstract Nonbiological differences related to CT scanner type can be removed f...
Background and purpose: In the retrospective-prospective multi-center "Blue Sky Radiomics” study (NC...
Radiomics is an objective method for extracting quantitative information from medical images. Howeve...
Background: Radiomic features are increasingly used in CT of NSCLC. However, their robustness with r...
<div><p>Consistent pixel sizes are of fundamental importance for assessing texture features that rel...
Consistent pixel sizes are of fundamental importance for assessing texture features that relate inte...
International audienceObjectives: Quantitative characterization of tumor heterogeneity using PET ima...
Simple Summary Radiomics has been reported to have potential for correlating with clinical outcomes....
Recently, investigators have illustrated the limited reproducibility in radiomics research preventin...
International audiencePURPOSE: To develop a radiomic model predicting non-response to induction chem...