Trustworthy AI method based on Dempster-Shafer theory - application to fetal brain 3D T2w MRI segmentation
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Updated
Jul 24, 2023 - Python
Trustworthy AI method based on Dempster-Shafer theory - application to fetal brain 3D T2w MRI segmentation
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI
awesome open source tools for fetal MRI analysis
FaBiAN is the first Fetal Brain magnetic resonance Acquisition Numerical phantom that simulates realistic T2-weighted magnetic resonance images of the developing fetal brain throughout gestation. It is open source and supports reproducibility studies to improve fetal brain diagnosis.
Image quality assessment for fetal MRI
Unsupervised learning framework for localizing structural brain anomalies in fetal MRI. VAE-based generative models trained per anatomical view with L2/SSIM/combined losses; β-VAE and gestational-age-conditioned variants under evaluation. Co-authored with Sungmin You (BCH / Harvard FNNDSC).
FetoMorph is a platform that standardizes fetal brain morphology measurement and analysis, enabling consistent validation across different computational models of fetal brain development.
FaBiAN is an open-source Fetal Brain magnetic resonance Acquisition Numerical phantom that simulates realistic T2-weighted magnetic resonance images (MRI) of the developing fetal brain throughout gestation. FaBiAN simulates as closely as possible the physical principles involved in fast spin echo (FSE) sequences at various clinical magnetic fiel…
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