most citedHybrid graph convolutional neural networks for landmark-based anatomical segmentation

2 citations · 2 across the 1 of their papers we have counts for

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eess.IV2021★ 2 cited

Hybrid graph convolutional neural networks for landmark-based anatomical segmentation

Nicolás Gaggion, Lucas Mansilla, Diego Milone +1

In this work we address the problem of landmark-based segmentation for anatomical structures. We propose HybridGNet, an encoder-decoder neural architecture which combines standard…