A dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain
Abstract Magnetic resonance imaging (MRI) is a powerful modality for investigating abnormal developmental patterns in utero. However, since it is not the first-line diagnostic tool in this sensitive population, data remain scarce and heterogeneous across scanners and hospitals. To address this, we p...
| Published in: | Scientific Data |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Online Access: | https://doi.org/10.1038/s41597-025-04926-9 |
