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04/25/2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images
As one of the most commonly ordered imaging tests, computed tomography (...
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02/27/2020
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising
CT image denoising can be treated as an image-to-image translation task ...
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03/05/2019
Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms
The ability to accurately estimate uncertainties in neural network predi...
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02/26/2018
PBGAN: Partial Binarization of Deconvolution Based Generators
The generator is quite different from the discriminator in a generative ...
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02/10/2018
On the Universal Approximability of Quantized ReLU Neural Networks
Compression is a key step to deploy large neural networks on resource-co...
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05/14/2017
