… Since its first outbreak, Coronavirus Disease 2019 (COVID-… COVID-19. Here, we first
developed a deep learning (DL) integrated radiomics model for end-to-end identification of COVID-…

… This study aimed to assess if computed tomography (CT) radiomics can predict the
severity and outcome of patients with coronavirus disease 2019 (COVID-19) pneumonia. …

… chest CT radiomics signature of COVID-19 is more effective and ideal to predict poor outcome
in the late-phase COVID-19 patients. For the early-phase patients, integrating radiomics …

… Convenient and precise assessment of the severity in coronavirus disease 2019 (COVID-19) …
radiomics nomogram in discriminating the severity of patients with COVID-19 Pneumonia. …

… on chest CT radiomic features and clinical … radiomics has potential in the clinical management
of COVID-19. Unlike previous studies, this study provided a radiomic tool to predict COVID-…

… of standard radiomics and deep learning methods for the image-based detection of COVID-19,
… 1) We propose a new radiomic signature that encodes pretrained CNN features using a …

… As radiomics-based diagnosis research has recently emerged, we aimed to use computerized
tomography (CT)-based radiomics models to differentiate COVID-19 pneumonia from …

… sensitive and reliable whole-lung radiomic features from computed tomography (CT) images
in a nonhuman primate model of coronavirus disease 2019 (COVID-19). Criteria used for …

… We hypothesised that radiomics features could be used to differentiate COVID-19 from other
… similar to those of COVID-19. We evaluated the performance of radiomics features by using …

… Zhang et al 33 incorporated CT-radiomics and PET … radiomics in prognosis prediction of
COVID-19. We applied three classifiers, including kNN, SVM, and LR to develop radiomics-…