- Letter to the Editor: Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma
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- Adult ileocolic intussusception caused by a terminal ileal lipoma: A case report
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- Study of displayed radiation dose and size-specific dose estimate from computed tomography brain examinations in accordance to head sizes
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- Artificial intelligence-based lung nodule detection for pulmonary arteriovenous fistulas on chest computed tomography
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- Evaluation of adrenal incidentalomas: Current approaches, caveats, and unexplored issues
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- Evidence for a two-step species-level pulmonary nocardiosis diagnostic approach
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- Diagnostic performance of magnetic resonance imaging-based radiomics for detecting prostate cancer: A systematic review and meta-analysis
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- Role of metal artifact reduction software in computed tomography angiography of lower limb metallic prosthesis: A retrospective study
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- Characterization of endometriosis in patients with Mullerian anomalies using the Enzian classification: A retrospective cohort study
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- Proposing Incidental-Reporting and Data System: A classification system for incidental findings in radiology
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- When anatomy becomes pathology: Rethinking carotid-hyoid contact in cerebrovascular events
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- Role of cerebral blood flow changes in post-transjugular intrahepatic portosystemic shunts hepatic encephalopathy
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- Non-contrast 3.0T coronary magnetic resonance angiography: Image quality comparison of coronal balanced-turbo-field-echo, axial turbo-field-echo, and modified-Dixon sequences
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- Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma
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- Research progress of the clinical application of dual-layer spectral computed tomography in gastrointestinal malignancies
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- Clinical and radiographic feature of pulmonary nocardiosis: A study of 102 cases
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- Rationalizing whole-body computed tomography in trauma: A national audit on resource utilization and strategies to minimize radiation exposure
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- Deep learning-based imaging model to predict early hematoma enlargement and hospital mortality in spontaneous intracerebral hemorrhage
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- Magnetic resonance imaging-based deep-learning radiomics score for survival prediction and risk stratification in pediatric hepatoblastoma receiving surgical resection
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- Role of dentomaxillofacial radiology in forensic dentistry
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