EISSN 1305-3612

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

Diagnostic and Interventional Radiology

28 123 2022

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

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

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

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

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

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

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

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

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

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Rare CT feature in a COVID-19 patient: cavitation

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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

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Quantitative chest CT in COVID-19

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Vascular changes in COVID-19 pneumonia

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

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IMAGES FROM THE LAST ISSUE

Letter to the Editor

Evaluation of lung volume loss with 3D CT volumetry in COVID-19 patients

Recep Savaş ¹ , Ayşegül Öz Özcan ²

Author Affiliation(s)

1.

Department of Radiology, Ege University Faculty of Medicine, İzmir, Turkey

2.

Era Radyoloji Merkezi, İzmir, Turkey

Diagn Interv Radiol 2021; 27: 155-156

DOI: 10.5152/dir.2020.20451

Read: 377 Downloads: 141 Published: 01 January 2021

Volume 27, Issue 1, January 2021

Previous Article

You may cite this article as: Savaş R, Öz Özcan A. Evaluation of lung volume loss with 3D CT volumetry in COVID-19 patients. Diagn Interv Radiol 2021; 27: 155-156.

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