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IMPACT FACTOR: 2.63 5 YEAR IF: 2.59 SCOPUS CITESCORE: 3.9

Diagnostic and Interventional Radiology

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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

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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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The role of dynamic contrast-enhanced MRI in cancer diagnosis and treatment

Barış Türkbey, David Thomasson, Yuxi Pang, Marcelino Bernardo, Peter L. Choyke

(Diagn Interv Radiol 2010; 16: 186-192) DOI: 10.4261/1305-3825.DIR.2537-08.1

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Diffusion-weighted MRI for detecting and monitoring cancer: a review of current applications in body imaging

Barış Türkbey, Ömer Aras, Nevzat Karabulut, Ahmet Tuncay Turgut, Erhan Akpınar, Sedat Alibek, Yuxi Pang, Şükrü Mehmet Ertürk, Riham H. El Khouli, David A. Bluemke, Peter L. Choyke

(Diagn Interv Radiol 2012; 18: 46-59) DOI: 10.4261/1305-3825.DIR.4708-11.2

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The role of dynamic contrast-enhanced MRI in cancer diagnosis and treatment

Barış Türkbey, David Thomasson, Yuxi Pang, Marcelino Bernardo, Peter L. Choyke

(Diagn Interv Radiol 2010; 16: 186-192) DOI: 10.4261/1305-3825.DIR.2537-08.1

Abstract Full Text ( PDF) Related Articles