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08/29/2023
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features
We introduce unORANIC, an unsupervised approach that uses an adapted los...
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02/06/2019
Generative Image Translation for Data Augmentation of Bone Lesion Pathology
Insufficient training data and severe class imbalance are often limiting...
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10/24/2018
Generative adversarial networks and adversarial methods in biomedical image analysis
Generative adversarial networks (GANs) and other adversarial methods are...
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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...
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12/28/2016
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
Significant advances have been made towards building accurate automatic ...
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11/16/2016
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Convolutional neural networks have enabled accurate image super-resoluti...
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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 ...
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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...
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03/18/2016