Can Deep Learning Replace Gadolinium in Neuro-Oncology?-Reference-Cited by-同舟云学术

Can Deep Learning Replace Gadolinium in Neuro-Oncology?

Published:2021-07-29 Issue:2 Volume:57 Page:99-107
ISSN:1536-0210
Container-title:Investigative Radiology
language:en
Short-container-title:Invest Radiol

Author:

Ammari Samy,Bône Alexandre,Balleyguier Corinne,Moulton Eric,Chouzenoux Émilie,Volk Andreas,Menu Yves,Bidault François,Nicolas François,Robert Philippe,Rohé Marc-Michel,Lassau Nathalie

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference41 articles.

1. Safety of the gadolinium-based contrast agents for magnetic resonance imaging, focusing in part on their accumulation in the brain and especially the dentate nucleus;Invest Radiol,2016

2. Gadolinium(III) chelates as MRI contrast agents: structure, dynamics, and applications;Chem Rev,1999

3. Gadolinium—a specific trigger for the development of nephrogenic fibrosing dermopathy and nephrogenic systemic fibrosis?;Nephrol Dial Transplant,2006

4. Nephrogenic systemic fibrosis: suspected causative role of gadodiamide used for contrast-enhanced magnetic resonance imaging;J Am Soc Nephrol,2006

5. High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material;Radiology,2014

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