Computational neuroanatomy of baby brains: A review

G Li, L Wang, PT Yap, F Wang, Z Wu, Y Meng, P Dong… - NeuroImage, 2019 - Elsevier
The first postnatal years are an exceptionally dynamic and critical period of structural,
functional and connectivity development of the human brain. The increasing availability of …

A review of image processing methods for fetal head and brain analysis in ultrasound images

HR Torres, P Morais, B Oliveira, C Birdir… - Computer methods and …, 2022 - Elsevier
Background and objective Examination of head shape and brain during the fetal period is
paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal …

Segmentation and classification in MRI and US fetal imaging: recent trends and future prospects

J Torrents-Barrena, G Piella, N Masoller… - Medical Image …, 2019 - Elsevier
Fetal imaging is a burgeoning topic. New advancements in both magnetic resonance
imaging and (3D) ultrasound currently allow doctors to diagnose fetal structural …

[HTML][HTML] A joint brain extraction and image quality assessment framework for fetal brain MRI slices

W Zhang, X Zhang, L Li, L Liao, F Zhao, T Zhong, Y Pei… - NeuroImage, 2024 - Elsevier
Brain extraction and image quality assessment are two fundamental steps in fetal brain
magnetic resonance imaging (MRI) 3D reconstruction and quantification. However, the …

Unbiased construction of a temporally consistent morphological atlas of neonatal brain development

A Schuh, A Makropoulos, EC Robinson… - BioRxiv, 2018 - biorxiv.org
Premature birth increases the risk of develo** neurocognitive and neurobe-havioural
disorders. The mechanisms of altered brain development causing these disorders are yet …

Asc: Appearance and structure consistency for unsupervised domain adaptation in fetal brain mri segmentation

Z Xu, H Gong, X Wan, H Li - … on Medical Image Computing and Computer …, 2023 - Springer
Automatic tissue segmentation of fetal brain images is essential for the quantitative analysis
of prenatal neurodevelopment. However, producing voxel-level annotations of fetal brain …

[HTML][HTML] A framework for multi-component analysis of diffusion MRI data over the neonatal period

M Pietsch, D Christiaens, J Hutter, L Cordero-Grande… - Neuroimage, 2019 - Elsevier
We describe a framework for creating a time-resolved group average template of the
develo** brain using advanced multi-shell high angular resolution diffusion imaging data …

[HTML][HTML] Age-specific structural fetal brain atlases construction and cortical development quantification for chinese population

J Wu, T Sun, B Yu, Z Li, Q Wu, Y Wang, Z Qian… - Neuroimage, 2021 - Elsevier
In magnetic resonance imaging (MRI) studies of fetal brain development, structural brain
atlases usually serve as essential references for the fetal population. Individual images are …

Label-set loss functions for partial supervision: application to fetal brain 3D MRI parcellation

L Fidon, M Aertsen, D Emam, N Mufti, F Guffens… - … Image Computing and …, 2021 - Springer
Deep neural networks have increased the accuracy of automatic segmentation, however
their accuracy depends on the availability of a large number of fully segmented images …

Automated brain masking of fetal functional MRI with open data

S Rutherford, P Sturmfels, M Angstadt, J Hect, J Wiens… - Neuroinformatics, 2022 - Springer
Fetal resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a
critical new approach for characterizing brain development before birth. Despite the rapid …