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EISSN 1305-3612

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Diagnostic and Interventional Radiology

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

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A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019‎

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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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Artificial intelligence in prostate cancer detection

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Predictors of post liver biopsy bleeding

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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Differentiation of cytotoxic and vasogenic edema in a patient with reversible posterior leukoencephalopathy syndrome using diffusion-weighted MRI

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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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Irreversible electroporation for the treatment of localized prostate cancer: a summary of imaging findings and treatment feedback

Matthijs J. Scheltema , Arnoud W. Postema , Daniel M. de Bruin, Mara Buijs, Marc R. Engelbrecht, M. Pilar Laguna, Hessel Wijkstra , Theo M. de Reijke, Jean J.M.C.H. de la Rosette

(Diagn Interv Radiol 2017; 23: 365-370) DOI: 10.5152/dir.2017.16608

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MRI and CT in the follow-up after irreversible electroporation of small renal masses

Mara Buijs, Daniel M de Bruin, Peter GK Wagstaff, Patricia J Zondervan, Matthijs JV Scheltema, Marc W Engelbrecht, Maria P Laguna, Krijn P van Lienden

(Diagn Interv Radiol 2021; 27: 654-663) DOI: 10.5152/dir.2021.19575

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