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IMPACT FACTOR: 2.63 5 YEAR IF: 2.59

Diagnostic and Interventional Radiology

27 117 2021

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Quantitative chest CT in COVID-19

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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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Technical background of a novel detector-based approach energy computed tomography‎

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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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Mehran Midia, Devang Odedra, Anatoly Shuster, Ramin Midia, Jeffrey Muir

Spectral detector computed tomography

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

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High-intensity focused ultrasound

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Diagnosis and management of hemoptysis

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IMAGES FROM THE LAST ISSUE

Abdominal Imaging - Case Report

Gastric stromal tumor

Gülgün Yılmaz Ovalı ¹ , Serdar Tarhan ² , Selim Serter ² , Yüksel Pabuşçu ³

Author Affiliation(s)

1.

From the Department of Radiology,Celal Bayar University School of Medicine, Manisa, Turkey

2.

Department of Radiology,Celal Bayar University School of Medicine, Manisa, Turkey

3.

Department of Radiology,Celal Bayar University School of Medicine, Manisa, Turkey

Diagn Interv Radiol 2005; 11: 102-104

Keywords : stomach, neoplasms, magnetic resonance imaging, ultrasonography

Read: 524 Downloads: 498 Published: 03 September 2019

Volume 11, Issue 2, June 2005

Previous Article

Abstract

Gastric stromal tumors are rare neoplasms of the stomach. In this report we present a gastric stromal tumor with an exophytic growth pattern, and describe magnetic resonance imaging and endoscopic ultrasonography findings.

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