eLife assessment
This study proposes a deep learning-based segmentation pipeline of fetal brain MRI, with parcellation based on a newly implemented atlas. This represents an important contribution to the field of developmental neuroscience and pediatric neuroimaging, especially as the pipeline and atlas are publicly available. The evidence for the pipeline robustness and atlas relevance is convincing given the extensive validations provided and the very high-quality ground truth dataset. Although beyond the state of the art, the study would benefit from further comparisons with existing methods and additional evaluations of the framework generalizability according to image quality, subject age or brain abnormalities.