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EISSN 1305-3612

5-YEAR IMPACT FACTOR: 2:093 IMPACT FACTOR: 1.871

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.

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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A new classification of adenocarcinoma: what the radiologists need to know

Sang Min Lee, Jin Mo Goo, Chang Min Park, Hyun-Ju Lee, Jung-Gi Im

(Diagn Interv Radiol 2012; 18: 519-526) DOI: 10.4261/1305-3825.DIR.5778-12.1

Abstract Full Text (PDF) Related Articles

Pulmonary subsolid nodules: what radiologists need to know about the imaging features and management strategy

Hyungjin Kim, Chang Min Park, Jae Moon Koh, Sang Min Lee, Jin Mo Goo

(Diagn Interv Radiol 2014; 20: 47-57) DOI: 10.5152/dir.2013.13223

Abstract Full Text (PDF) Related Articles

Impact of radiation dose and iterative reconstruction on pulmonary nodule measurements at chest CT: a phantom study

Hyungjin Kim, Chang Min Park, Hee-Dong Chae, Sang Min Lee, Jin Mo Goo

(Diagn Interv Radiol 2015; 21: 459-465) DOI: 10.5152/dir.2015.14541

Abstract Full Text (PDF) Related Articles

A new classification of adenocarcinoma: what the radiologists need to know

Pulmonary subsolid nodules: what radiologists need to know about the imaging features and management strategy

Impact of radiation dose and iterative reconstruction on pulmonary nodule measurements at chest CT: a phantom study

Percutaneous transthoracic localization of pulmonary nodules under C-arm cone-beam CT virtual navigation guidance

FSE T2-weighted two-point Dixon technique for fat suppression in the lumbar spine: comparison with SPAIR technique

A pictorial review on clinicopathologic and radiologic features of duodenal gastrointestinal stromal tumors

Combination of intraoperative radiofrequency ablation and surgical resection for treatment of cholangiocarcinoma: feasibility and long-term survival

Value of accurate diagnosis for metastatic supraclavicular lymph nodes in breast cancer: Assessment with neck ultrasound, CT, and 18F-FDG PET/CT