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EISSN 1305-3612

IMPACT FACTOR: 2.63 5 YEAR IF: 2.59

Diagnostic and Interventional Radiology

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HIGHLY CITED ARTICLES

Radiomics with artificial intelligence

Burak Koçak, Emine Şebnem Durmaz, Ece Ateş, Özgür Kılıçkesmez

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

Nils Große Hokamp, David Maintz, Nadav Shapira, De Hua Chang, Peter B Noël

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

Nguyen Minh Duc, Bilgin Keserci

Differentiation of cytotoxic and vasogenic edema in a patient with reversible posterior leukoencephalopathy syndrome using diffusion-weighted MRI

By: Doelken, Marc; Lanz, Stefan; Rennert, Janine; et al.

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?

By: Iwazawa, Jin; Mitani, Takashi; Sassa, Seitaro; et al.

EDITOR'S PICK

Future scenarios and opportunities for interventional radiology in the post COVID-19 era

Maria Abadal, Jose; Gonzalez-Nieto, Jimena; Lopez-Zarraga, Fernando; et al.

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

Hokamp, Nils Grosse; Maintz, David; Shapira, Nadav; et al.

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

IMAGES FROM THE LAST ISSUE

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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Artificial intelligence at the intersection of pathology and radiology in prostate cancer

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

(Diagn Interv Radiol 2019; 25: 183-188) DOI: 10.5152/dir.2019.19125

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Targeted early chest CT in COVID-19 outbreaks as diagnostic tool for containment of the pandemic–A multinational opinion

Amel Amalou, Barış Türkbey, Tom Sanford, Stephanie Harmon, Evrim B. Türkbey, Sheng Xu, Peng An, Gianpaolo Carrafiello, Maurizio Cariati, Francesca Patella, Hirofumi Obinata, Hitoshi Mori, Kaiyuan Sun, David J. Spiro, Robert Suh, Hayet Amalou, Bradford J. Wood

(Diagn Interv Radiol 2020; 26: 292-295) DOI: 10.5152/dir.2020.20231

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Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

Maxime Blain, Michael T. Kassin, Nicole Varble , Xiaosong Wang , Ziyue Xu , Daguang Xu , Gianpaolo Carrafiello , Valentina Vespro , Elvira Stellato , Anna Maria Ierardi , Letizia Di Meglio , Robert D. Suh , Stephanie A. Walker , Sheng Xu , Thomas H. Sanford , Evrim B. Turkbey , Stephanie Harmon , Baris Turkbey , Bradford J. Wood

(Diagn Interv Radiol 2021; 27: 20-27) DOI: 10.5152/dir.2020.20205

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