Hierarchical Variational Autoencoder (HVAE)
Generative model for 2D B-mode Ultrasound Images. This model can be used for unconditional sampling as well as inpainting tasks.
Current architecture on at resolution 256x256x3 (3 video frames per input/output).
🌽 The zea implementation is a snippet, adapted from the source.
The weights that are currently present can be read as follows:
lvh: trained onEchonetLVHdatasetur: encoder retrained with UniformRandom subsampling (zea.agent)24: 24 lines/columns used when subsampling
📚 A usage tutorial can be found at:
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