<ul data-eligibleForWebStory="true"><li>Researchers have introduced CINeMA, a novel framework for creating high-resolution, spatio-temporal, multimodal brain atlases suitable for low-data settings.</li><li>CINeMA operates in latent space, avoiding the need for compute-intensive image registration and reducing atlas construction times from days to minutes.</li><li>The framework allows flexible conditioning on anatomical features like gestational age, birth age, and brain pathologies such as ventriculomegaly and agenesis of the corpus callosum.</li><li>CINeMA supports tasks like tissue segmentation, age prediction, synthetic data creation, and anatomically informed data augmentation.</li><li>The framework surpasses existing methods in accuracy, efficiency, and versatility, making it a valuable tool for advancing brain research.</li><li>The code and atlases for CINeMA are available at https://github.com/m-dannecker/CINeMA.</li></ul>

CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain

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