Automatic myocardial segmentation of contrast echocardiography has shown...
Most existing deep learning-based frameworks for image segmentation assu...
As one of the most commonly ordered imaging tests, computed tomography (...
Current autoencoder-based disentangled representation learning methods
a...
CT image denoising can be treated as an image-to-image translation task ...
In coal-fired power plants, it is critical to improve the operational
ef...
The ability to accurately estimate uncertainties in neural network
predi...
The generator is quite different from the discriminator in a generative
...
Compression is a key step to deploy large neural networks on
resource-co...