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Whole Heart 3D+T Representation Learning

A whole-heart self-supervised learning framework that utilizes masked imaging modeling to automatically uncover the correlations between spatial and temporal patches throughout the cardiac stacks.

Data and Resources

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Cite this as

Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan (2025). Dataset: Whole Heart 3D+T Representation Learning. https://doi.org/10.57702/yl5uzy6f

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Additional Info

Field Value
Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.2406.00329
Author Yundi Zhang
More Authors
Chen Chen
Suprosanna Shit
Sophie Starck
Daniel Rueckert
Jiazhen Pan
Homepage https://arxiv.org/abs/2106.09541