Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach-Reference-Cited by-同舟云学术

Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach

Published:2022-02-17 Issue:3 Volume:43 Page:448-454
ISSN:0195-6108
Container-title:American Journal of Neuroradiology
language:en
Short-container-title:AJNR Am J Neuroradiol

Author:

Zhao L.^ORCID,Asis-Cruz J.D.^ORCID,Feng X.^ORCID,Wu Y.^ORCID,Kapse K.^ORCID,Largent A.^ORCID,Quistorff J.,Lopez C.^ORCID,Wu D.^ORCID,Qing K.^ORCID,Meyer C.^ORCID,Limperopoulos C.^ORCID

Funder

National Institute of Biomedical Imaging and Bioengineering

National Center for Advancing Translation Sciences

National Heart, Lung and Blood Institute

Publisher

American Society of Neuroradiology (ASNR)

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

Reference35 articles.

1. Normative fetal brain growth by quantitative in vivo magnetic resonance imaging

2. Disorders of the Fetal Circulation and the Fetal Brain

3. MRI Segmentation of the Human Brain: Challenges, Methods, and Applications

4. Automatic segmentation and reconstruction of the cortex from neonatal MRI

5. Fast and High-Resolution Neonatal Brain MRI Through Super-Resolution Reconstruction From Acquisitions With Variable Slice Selection Direction

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Brain Segmentation in MRI through Integration of Hidden Markov Random Field Model and Whale Optimization Algorithm;Computers;2024-05-17

2. A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-05

3. Identification of Congenital Heart Defects in Ultrasound Images using U-Net Segmentation;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29

4. Examining the relationship between fetal cortical thickness, gestational age, and maternal psychological distress;Developmental Cognitive Neuroscience;2023-10

5. Review on deep learning fetal brain segmentation from Magnetic Resonance images;Artificial Intelligence in Medicine;2023-09