Adversarial training (AT) is considered to be one of the most reliable
d...
Adversarial training is a popular defense strategy against attack threat...
CT metal artifact reduction (MAR) is a notoriously challenging task beca...
Inferring the latent variable generating a given test sample is a challe...
Undersampled MR image recovery has been widely studied for accelerated M...
We propose a marginal super-resolution (MSR) approach based on 2D
convol...
Current deep neural network based approaches to computed tomography (CT)...
A conventional approach to computed tomography (CT) or cone beam CT (CBC...
A conventional approach to computed tomography (CT) or cone beam CT (CBC...
Computed tomography (CT) is an imaging modality widely used for medical
...
Current deep neural network based approaches to computed tomography (CT)...
We propose to tackle the problem of multiview 2D/3D rigid registration f...
In this paper, we propose an unsupervised face clustering algorithm call...