Fetal magnetic resonance imaging artifacts: role of deep learning to improve imaging
Author:
Affiliation:
1. Instituto de Ensino e Pesquisa, Dasa (IEPD) Brazil
2. BiodesignLab Dasa/PUC‐Rio Rio de Janeiro Brazil
3. Laboratório Nacional de Computação Científica Petrópolis Rio de Janeiro Brazil
Publisher
Wiley
Subject
Obstetrics and Gynecology,Radiology, Nuclear Medicine and imaging,Reproductive Medicine,General Medicine,Radiological and Ultrasound Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/uog.26185
Reference5 articles.
1. ISUOG Practice Guidelines (updated): performance of fetal magnetic resonance imaging
2. Image-quality optimization and artifact reduction in fetal magnetic resonance imaging
3. MRI Gibbs‐ringing artifact reduction by means of machine learning using convolutional neural networks
4. Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology
5. Use of artificial intelligence and deep learning in fetal ultrasound imaging
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