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Found 4 papers, 1 papers with code
FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control
We present FetMRQC, an open-source machine-learning framework for automated image quality assessment and quality control that is robust to domain shifts induced by the heterogeneity of clinical data.
Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI
Therefore, CP growth and folding patterns are key indicator in the assessment of the brain development and maturation.
FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom
Accurate characterization of in utero human brain maturation is critical as it involves complex and interconnected structural and functional processes that may influence health later in life.
Segmentation of the cortical plate in fetal brain MRI with a topological loss
The fetal cortical plate undergoes drastic morphological changes throughout early in utero development that can be observed using magnetic resonance (MR) imaging.
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