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1. Correlation of gene expression with magnetic resonance imaging features of retinoblastoma: a multi-center radiogenomics validation study

4. Stable prediction with radiomics data

9. The Prediction of Biological Features Using Magnetic Resonance Imaging in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis

12. MRI Features for Identifying MYCN-amplified RB1 Wild-type Retinoblastoma

13. Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma

15. Quantitative Diffusion-Weighted Imaging Analyses to Predict Response to Neoadjuvant Immunotherapy in Patients with Locally Advanced Head and Neck Carcinoma

16. External validation of an MR-based radiomic model predictive of locoregional control in oropharyngeal cancer

21. Magnetic Resonance Imaging Can Reliably Differentiate Optic Nerve Inflammation from Tumor Invasion in Retinoblastoma with Orbital Cellulitis

33. Simple delineations cannot substitute full 3d tumor delineations for MR-based radiomics prediction of locoregional control in oropharyngeal cancer

36. Assessment of early-stage optic nerve invasion in retinoblastoma using high-resolution 1.5 Tesla MRI with surface coils: a multicentre, prospective accuracy study with histopathological correlation

38. Early Response Prediction of Multiparametric Functional MRI and 18F-FDG-PET in Patients with Head and Neck Squamous Cell Carcinoma Treated with (Chemo)Radiation

43. SUV(max) values at FDG PET-CT to predict malignancy in lymph nodes aspirated by real time image fused USgFNAC in head and neck squamous cell carcinoma

46. Advances in diagnostic modalities to detect occult lymph node metastases in head and neck squamous cell carcinoma

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