EISSN 1305-3612

IMPACT FACTOR: 2.63 5 YEAR IF: 2.59

Diagnostic and Interventional Radiology

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EDITOR'S PICK

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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Radiomics with artificial intelligence

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Artificial intelligence in prostate cancer detection

Stephanie A. Harmon, Sena Tuncer, Thomas Sanford, Peter L. Choyke, Barış Türkbey

Predictors of post liver biopsy bleeding

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

Spectral detector computed tomography

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

A. Emre Kavur, Naciye Sinem Gezer, Mustafa Barış, Yusuf Şahin, Savaş Özkan, Bora Baydar, Ulaş Yüksel, Çağlar Kılıkçıer, Şahin Olut, Gözde Bozdağı Akar, Gözde Ünal, Oğuz Dicle, M. Alper Selver

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

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Diagnosis and management of hemoptysis

By: Larici, Anna Rita; Franchi, Paola; Occhipinti, Mariaelena; et al.

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

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

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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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Letter to the Editor

Correlation of dynamic multidetector CT findings with pathological grades of hepatocellular carcinoma

Sedat Alibek ¹ , Michael Uder ² , Nefise Çağla Tarhan ³ , Tuğçe Hatipoğlu ⁴ , Eylül Ercan ⁵ , Merve Bener ⁵ , Göksun Keleş ⁵ , Ceyla Başaran ⁶ , Banu Bilezikçi ⁵

Author Affiliation(s)

MVZ Radiologie & Nuklearmedizin, Fürth, Germany

Radiology InstituteUniversity of Erlangen, Erlangen, Germany

Departments of Radiology, Başkent University School of Medicine, Ankara, Turkey

Departments of Pathology, Başkent University Faculty of Medicine Ankara, Turkey

Department of Radiology, Başkent University School of Medicine, Ankara, Turkey

Diagn Interv Radiol 2012; 18: 236-237

DOI: 10.4261/1305-3825.DIR.5492-11.3

Read: 659 Downloads: 509 Published: 03 September 2019

Volume 18, Issue 2, March 2012

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