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Diagnostic and Interventional Radiology

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COVID-19 ARTICLES

COVID-19 radiology CT personnel management

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Future of IR in the post COVID-19 era

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CT findings to predict hospitalization and intensive care need for COVID-19

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Application of percutaneous transluminal sharp recanalization in TIPS

By: Li et al.

Comparison of laboratory-confirmed and clinically diagnosed COVID-19 patients

By: Kuzan et al.

Low-dose chest CT to diagnose COVID-19

By: Aslan et al.

Quantitative chest CT in COVID-19

By: Ufuk et al.

Vascular changes in COVID-19 pneumonia

By: Tekcan Şanlı and Yıldırım.

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

By: Blain et al.

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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

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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

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

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

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HIGHLY CITED ARTICLES

Radiological approach to COVID-19 pneumonia with an emphasis on chest CT

By: Guneyli, S; Atceken, Z; Dogan, H; et al.

Interventional radiology and COVID-19: evidence-based measures to limit transmission

By: Chandy, PE; Nasir, MU; Srinivasan, S; et al.

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

By: Hokamp, NG; Maintz, D; Shapira, N; et al.

How imaging should properly be used in COVID-19 outbreak: an Italian experience

By: Sverzellati, N; Milone, F and Balbi, M

Management strategy of novel coronavirus (COVID-19) pneumonia in the radiology department: a Chinese experience

By: An, P; Ye, YJ; Chen, YT; et al.

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

By: Kavur, AE; Gezer, NS; Baris, M; et al.

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

By: Ito, R; Iwano, S and Naganawa, S

COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging

By: Gezer, NS; Ergan, B; Baris, MM; et al.

CT findings of COVID-19 in follow-up: comparison between progression and recovery

By: Guan, CS; Wei, LG; Xie, RM; et al.

Rare CT feature in a COVID-19 patient: cavitation

By: Xu, ZF; Pan, AZ and Zhou, HL

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Multiparametric MRI for the detection of local recurrence of prostate cancer in the setting of biochemical recurrence after low dose rate brachytherapy

Luca F. Valle , Matthew D. Greer , Joanna H. Shih , Tristan Barrett , Yan Mee Law , Andrew B. Rosenkrantz , Haytham Shebel , Akhil Muthigi , Daniel Su , Maria J. Merino , Bradford J. Wood, Peter A. Pinto , Andra V. Krauze , Aradhana Kaushal , Peter L. Choyke , Barış Türkbey, Deborah E. Citrin

(Diagn Interv Radiol 2018; 24: 46-53) DOI: 10.5152/dir.2018.17285

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