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5. The stability of oncologic MRI radiomic features and the potential role of deep learning: a review

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6. Robustness and reproducibility of radiomics in T2 weighted images from magnetic resonance image guided linear accelerator in a phantom study

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9. Tumor image-derived texture features are associated with CD3 T-cell infiltration status in glioblastoma

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11. Effects of MRI image normalization techniques in prostate cancer radiomics

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14. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer

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15. Repeatability and reproducibility of MRI-based radiomic features in cervical cancer

- Sandra Fiset

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- Jason Xie

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17. Exploring Applications of Radiomics in Magnetic Resonance Imaging of Head and Neck Cancer: A Systematic Review

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- Pei Yang

- Clifton D. Fuller

18. Machine Learning for Prediction of Recurrence in Parasagittal and Parafalcine Meningiomas: Combined Clinical and MRI Texture Features

- Hsun-Ping Hsieh

- Ding-You Wu

- Kuo-Chuan Hung

- Sher-Wei Lim

- Tai-Yuan Chen

- Yang Fan-Chiang

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