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EISSN 1305-3612

IMPACT FACTOR: 3.346 5 YEAR IF: 3.132 SCOPUS CITESCORE: 3.9

Diagnostic and Interventional Radiology

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COVID-19 ARTICLES

COVID-19 radiology CT personnel management

By: Özdemir et al.

Future of IR in the post COVID-19 era

By: Abadal et al.

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

By: Tekcan Sanli et al.

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

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Value of pre-intervention CT perfusion imaging in acute ischemic stroke prognosis

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Radiomics signature as a new biomarker for preoperative prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer

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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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Utility of histogram analysis of ADC maps for differentiating orbital tumors

Xiao-Quan Xu, Hao Hu, Guo-Yi Su, Hu Liu, Xun-Ning Hong, Hai-Bin Shi, Fei-Yun Wu

(Diagn Interv Radiol 2016; 22: 161-167) DOI: 10.5152/dir.2015.15202

Abstract Full Text ( PDF) Related Articles

Container computed tomography scanner: a solution for modular emergency radiology department during the COVID-19 pandemic

Zixing Huang, Shuang Zhao, Qi Leng, Shaoping Hu, Zhenlin Li, Bin Song

(Diagn Interv Radiol 2020; 1: -)

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Container CT scanner: a solution for modular emergency radiology department during the COVID-19 pandemic

Zixing Huang, Shuang Zhao, Qi Leng , Shaoping Hu , Zhenlin Li, Bin Song

(Diagn Interv Radiol 2021; 27: 350-353) DOI: 10.5152/dir.2021.20740

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