research
∙
08/29/2023
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features
We introduce unORANIC, an unsupervised approach that uses an adapted los...
share
research
∙
02/06/2019
Generative Image Translation for Data Augmentation of Bone Lesion Pathology
Insufficient training data and severe class imbalance are often limiting...
research
∙
10/24/2018
Generative adversarial networks and adversarial methods in biomedical image analysis
Generative adversarial networks (GANs) and other adversarial methods are...
research
∙
07/10/2017
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
The most prominent problem associated with the deconvolution layer is th...
research
∙
12/28/2016
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
Significant advances have been made towards building accurate automatic ...
research
∙
11/16/2016
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Convolutional neural networks have enabled accurate image super-resoluti...
research
∙
09/22/2016
Is the deconvolution layer the same as a convolutional layer?
In this note, we want to focus on aspects related to two questions most ...
research
∙
09/15/2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Despite the breakthroughs in accuracy and speed of single image super-re...
research
∙
03/18/2016
