Motion artifact correction in fetal MRI based on a Generative Adversarial network method

Author:

Lim Adam,Lo Justin,Wagner Matthias W.ORCID,Ertl-Wagner Birgit,Sussman DafnaORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference31 articles.

1. Motion Artefacts in MRI: a Complex Problem with Many Partial Solutions;Zaitsev;J. Magn. Reson. Imag.,2015

2. Mapping fetal brain development based on automated segmentation and 4D brain atlasing;Li;Brain Struct. Funct.,2021

3. Cross Attention Squeeze Excitation Network (CASE-Net) for Whole Body Fetal MRI Segmentation;Lo;Sensors (Basel),2021

4. Attention-guided deep learning for gestational age prediction using fetal brain MRI;Shen;Sci Rep,2022

5. J. Xu et al., “Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network.” arXiv, Jul. 09, 2019. Accessed: Oct. 19, 2022. [Online]. Available: http://arxiv.org/abs/1907.04500.

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