文章名稱(chēng)引用次數(shù)

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• CT-based radiomic model predicts high grade of clear cell renal cell carcinoma24
• Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation23
• Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade22
• Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand?18
• Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method17
• The past, present and future role of artificial intelligence in imaging16
• Metal artifact reduction techniques in musculoskeletal CT-imaging16