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Improved $α$-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning
On a synthetic dataset of connected 3D spheres and ellipsoids, our model can generate fully connected 3D shapes with similar geometrical characteristics to that of training data.
VARGAN: Variance Enforcing Network Enhanced GAN
Generative adversarial networks (GANs) are one of the most widely used generative models.
An empirical study on using CNNs for fast radio signal prediction
We compare deep learning-based prediction models including RadioUNET and four different variations of the UNET model for the power prediction task.
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