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Diagnostic and Interventional Radiology

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COVID-19 ARTICLES

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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Application of percutaneous transluminal sharp recanalization in TIPS

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

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Low-dose chest CT to diagnose COVID-19

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Quantitative chest CT in COVID-19

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Vascular changes in COVID-19 pneumonia

By: Tekcan Şanlı and Yıldırım.

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

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

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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

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Predictors of post liver biopsy bleeding

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

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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

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Diagnosis and management of hemoptysis

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

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Semi-automatic 3D-volumetry of liver metastases from neuroendocrine tumors to improve combination therapy with 177Lu-DOTATOC and 90Y-DOTATOC

Matthaeus Cieciera, Clemens Kratochwil, Jan Moltz, Hans-Ulrich Kauczor, Tim Holland-Letz, Peter Choyke, Walter Mier, Uwe Haberkorn, Frederik L. Giesel

(Diagn Interv Radiol 2016; 22: 201-206) DOI: 10.5152/dir.2015.15304

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