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EISSN 1305-3612

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Diagnostic and Interventional Radiology

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Future scenarios and opportunities for interventional radiology in the post COVID-19 era

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A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019‎

Ito, Rintaro; Iwano, Shingo; Naganawa, Shinji

Technical background of a novel detector-based approach energy computed tomography‎

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Radiomics-based nomogram using CT imaging for noninvasive preoperative prediction of early recurrence in patients with hepatocellular carcinoma‎

Zhu, Hong-Bo; Zheng, Ze-Yu; Zhao, Heng; et al.

Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors‎

Kavur, A. Emre; Gezer, Naciye Sinem; Baris, Mustafa; et al.

Ethical considerations for artificial intelligence: an overview of the current radiology landscape

Tugba Akinci D'Antonoli

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Predictors of post liver biopsy bleeding

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Spectral detector computed tomography

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Liver segmentation and volume determination using automatic vs. semi-automatic methods

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High-intensity focused ultrasound

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Differentiation of cytotoxic and vasogenic edema in a patient with reversible posterior leukoencephalopathy syndrome using diffusion-weighted MRI

By: Doelken, Marc; Lanz, Stefan; Rennert, Janine; et al.

Diagnosis and management of hemoptysis

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Prostate cancer detection with MRI: is dynamic contrast-enhanced imaging necessary in addition to diffusion-weighted imaging?

By: Iwazawa, Jin; Mitani, Takashi; Sassa, Seitaro; et al.

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Cross-sectional area measurement of the coronary arteries using CT angiography at the level of the bifurcation: is there a relationship?

Samet Verim, Ersin Öztürk, Uğur Küçük, Kemal Kara, Muzaffer Sağlam, Ejder Kardeşoğlu

(Diagn Interv Radiol 2015; 21: 454-458) DOI: 10.5152/dir.2015.15108

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