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EISSN 1305-3612

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Diagnostic and Interventional Radiology

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COVID-19 ARTICLES

“Rings of Saturn” appearance: a unique finding in a case of COVID-19 pneumonitis

By: Jafari et al.

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

By: Rossi et al.

AI for medical imaging of COVID-19

By: Ito et al.

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

By: Blain et al.

CT imaging features of COVID-19 pneumonia

By: Çinkooğlu et al.

Structured reporting of COVID-19 on CT

By: Gezer et al.

Chest CT in diagnosis of COVID-19

By: Luo et al.

Chest CT features of COVID-19 pneumonia

By: Bayraktaroğlu et al.

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.

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Radiomics with artificial intelligence: a practical guide for beginners

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

(Diagn Interv Radiol 2019; 25: 485-495) DOI: 10.5152/dir.2019.19321

Abstract Full Text (PDF) Related Articles

Tubular gastric adenocarcinoma: machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion

Aytül Hande Yardımcı, Burak Koçak, Ceyda Turan Bektaş, İpek Sel, Enver Yarıkkaya, Nevra Dursun, Hasan Bektaş, Çiğdem Usul Afşar, Rıza Umar Gürsu, Özgür Kılıçkesmez

(Diagn Interv Radiol 2020; 26: 515-522) DOI: 10.5152/dir.2020.19507

Abstract Full Text (PDF) Related Articles