Artificial Intelligence for Image Reconstruction in Children: Counterpoint—Proceed With Caution-Reference-Cited by-同舟云学术

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Artificial Intelligence for Image Reconstruction in Children: Counterpoint—Proceed With Caution

Published:2024-06 Issue:6 Volume:222 Page:
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Chung Taylor¹²,Muthupillai Raja³

Affiliation:

1. Department of Diagnostic Imaging, UCSF Benioff Children's Hospital Oakland, 747 52nd St, Oakland, CA 94609.

2. Department of Radiology and Biomedical Imaging, Section of Oakland Pediatric Radiology, School of Medicine, University of California San Francisco, San Francisco, CA.

3. School of Engineering Medicine, Texas A&M University, Houston, TX.

Publisher

American Roentgen Ray Society

Reference6 articles.

1. Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease

2. Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

3. Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

4. Challenges of Deep Learning in Medical Image Analysis—Improving Explainability and Trust

5. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

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