Applying Artificial Intelligence to Mitigate Effects of Patient Motion or Other Complicating Factors on Image Quality-Reference-Cited by-同舟云学术

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Applying Artificial Intelligence to Mitigate Effects of Patient Motion or Other Complicating Factors on Image Quality

Published:2020-06-05 Issue: Volume:Publish Ahead of Print Page:
ISSN:0899-3459
Container-title:Topics in Magnetic Resonance Imaging
language:en
Short-container-title:

Author:

Nguyen Xuan V.,Oztek Murat Alp,Nelakurti Devi D.,Brunnquell Christina L.,Mossa-Basha Mahmud,Haynor David R.,Prevedello Luciano M.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging

Reference62 articles.

1. Making magnets more attractive: physics and engineering contributions to patient comfort in MRI;Brunnquell;Top Magn Reson Imaging,2020

2. Current applications and future impact of machine learning in radiology;Choy;Radiology,2018

3. Deep learning: a primer for radiologists;Chartrand;Radiographics,2017

4. Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging;Kaji;Radiol Phys Technol,2019

5. Noninterpretive uses of artificial intelligence in radiology;Richardson;Acad Radiol,2020

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