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An ordinal radiomic model to predict the differentiation grade of invasive non-mucinous pulmonary adenocarcinoma based on low-dose computed tomography in lung cancer screening.
- Published in:
- European Radiology, 2023, v. 33, n. 5, p. 3072, doi. 10.1007/s00330-023-09453-y
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- Article
The solid component within part-solid nodules: 3-dimensional quantification, correlation with the malignant grade of nonmucinous pulmonary adenocarcinomas, and comparisons with 2-dimentional measures and semantic features in low-dose computed tomography.
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- Cancer Imaging, 2023, v. 23, n. 1, p. 1, doi. 10.1186/s40644-023-00577-4
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- Article
Chemotherapy-induced grey matter abnormalities in cancer survivors: a voxel-wise neuroimaging meta-analysis.
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- Brain Imaging & Behavior, 2021, v. 15, n. 4, p. 2215, doi. 10.1007/s11682-020-00402-7
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- Article
Comparison of Radiomic Models Based on Low-Dose and Standard-Dose CT for Prediction of Adenocarcinomas and Benign Lesions in Solid Pulmonary Nodules.
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- Frontiers in Oncology, 2021, v. 11, p. N.PAG, doi. 10.3389/fonc.2020.634298
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- Article
Merged image reconstruction for anomalous systemic arterial supply to a normal lung.
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- Journal of Medical Radiation Sciences, 2020, v. 67, n. 2, p. 151, doi. 10.1002/jmrs.383
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- Article
Predicting the Invasiveness of Pulmonary Adenocarcinomas in Pure Ground-Glass Nodules Using the Nodule Diameter: A Systematic Review, Meta-Analysis, and Validation in an Independent Cohort.
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- Diagnostics (2075-4418), 2024, v. 14, n. 2, p. 147, doi. 10.3390/diagnostics14020147
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- Article
Quantitative parameters of enhanced dual-energy computed tomography for differentiating lung cancers from benign lesions in solid pulmonary nodules.
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- Frontiers in Oncology, 2022, v. 12, p. 1, doi. 10.3389/fonc.2022.1027985
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- Article
Radiomic and quantitative-semantic models of low-dose computed tomography for predicting the poorly differentiated invasive non-mucinous pulmonary adenocarcinoma.
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- La Radiologia Medica, 2023, v. 128, n. 2, p. 191, doi. 10.1007/s11547-023-01591-z
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- Article
Improvement of image quality of laryngeal squamous cell carcinoma using noise‐optimized virtual monoenergetic image and nonlinear blending image algorithms in dual‐energy computed tomography.
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- Head & Neck, 2021, v. 43, n. 10, p. 3125, doi. 10.1002/hed.26812
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- Article