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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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Radiomics with artificial intelligence

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Predictors of post liver biopsy bleeding

Mehran Midia, Devang Odedra, Anatoly Shuster, Ramin Midia, Jeffrey Muir

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Diagnosis and management of hemoptysis

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Quantitative chest CT in COVID-19

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Use of deep learning in chest X-ray images of COVID-19 patients

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Akciğer hamartomu

Murat Acar, Mustafa Özateş, Faysal Ekici, Masum Şimşek

(Diagn Interv Radiol 2001; 7: 373-375)

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Percutaneous cryoablation techniques and clinical applications

Servet Tatlı, Murat Acar, Kemal Tuncalı, Paul R. Morrison, Stuart Silverman

(Diagn Interv Radiol 2010; 16: 90-95) DOI: 10.4261/1305-3825.DIR.1922-08.0

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Cystic tumors of the pancreas: a radiological perspective

Murat Acar, Servet Tatlı

(Diagn Interv Radiol 2011; 17: 143-149) DOI: 10.4261/1305-3825.DIR.3254-09.1

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Akciğer hamartomu

Percutaneous cryoablation techniques and clinical applications

Cystic tumors of the pancreas: a radiological perspective

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