Artificial intelligence applied to fetal MRI: A scoping review of current research

R Meshaka, T Gaunt… - The British Journal of …, 2023 - academic.oup.com
Artificial intelligence (AI) is defined as the development of computer systems to perform tasks
normally requiring human intelligence. A subset of AI, known as machine learning (ML) …

[HTML][HTML] Quantification of sulcal emergence timing and its variability in early fetal life: hemispheric asymmetry and sex difference

HJ Yun, HJ Lee, JY Lee, T Tarui, CK Rollins… - NeuroImage, 2022 - Elsevier
Human fetal brains show regionally different temporal patterns of sulcal emergence
following a regular timeline, which may be associated with spatiotemporal patterns of gene …

[PDF][PDF] Prediction of Fetal Brain and Heart Abnormalties using Artificial Intelligence Algorithms: A Review

A Ahmad, N Dharejo, F Saeed, A Shiwlani… - American Journal of …, 2024 - hcommons.org
In fetal medicine, artificial intelligence plays a crucial role in preventing congenital fetal
abnormalities. Anomalies of heart and brain in fetal ultrasonography and MRI have been …

Association between placental oxygen transport and fetal brain cortical development: a study in monochorionic diamniotic twins

E Abaci Turk, HJ Yun, HA Feldman, JY Lee… - Cerebral …, 2024 - academic.oup.com
Normal cortical growth and the resulting folding patterns are crucial for normal brain
function. Although cortical development is largely influenced by genetic factors …

Attention-modulated multi-branch convolutional neural networks for neonatal brain tissue segmentation

X Fan, S Shan, X Li, J Li, J Mi, J Yang… - Computers in Biology and …, 2022 - Elsevier
Accurate measurement of brain structures is essential for the evaluation of neonatal brain
growth and development. The conventional methods use manual segmentation to measure …

A Prospective Multi-Institutional Study Comparing the Brain Development in the Third Trimester between Opioid-Exposed and Nonexposed Fetuses Using Advanced …

HJ Yun, UD Nagaraj, PE Grant… - American Journal …, 2024 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: While the adverse neurodevelopmental effects of prenatal
opioid exposure on infants and children in the United States are well described, the …

Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration

L Cordero-Grande, JE Ortuño-Fisac… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
Magnetic resonance imaging of whole fetal body and placenta is limited by different sources
of motion affecting the womb. Usual scanning techniques employ single-shot multi-slice …

Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks

F Beizaee, M Bona, C Desrosiers, J Dolz… - Scientific Reports, 2023 - nature.com
Neonatal MRIs are used increasingly in preterm infants. However, it is not always feasible to
analyze this data. Having a tool that assesses brain maturation during this period of …

JoCoRank: Joint correlation learning with ranking similarity regularization for imbalanced fetal brain age regression

R Zhou, Y Liu, W Xia, Y Guo, Z Huang, H Gan… - Computers in Biology …, 2024 - Elsevier
Estimating fetal brain age based on sulci by magnetic resonance imaging (MRI) is clinically
crucial in determining the normal development of fetal brains. Deep learning provides a …

Automatic cortical surface parcellation in the fetal brain using attention-gated spherical U-net

S You, A De Leon Barba, V Cruz Tamayo… - Frontiers in …, 2024 - frontiersin.org
Cortical surface parcellation for fetal brains is essential for the understanding of
neurodevelopmental trajectories during gestations with regional analyses of brain structures …