2 citations · 3 across the 5 of their papers we have counts for
5 papers
xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network
Tibor Sloboda, Lukáš Hudec, Wanda Benešová
In the domain of unsupervised image-to-image transformation using generative transformative models, CycleGAN has become the architecture of choice. One of the primary downsides of…
Single Image Automatic Radial Distortion Compensation Using Deep Convolutional Network
Igor Janos, Wanda Benesova
In many computer vision domains, the input images must conform with the pinhole camera model, where straight lines in the real world are projected as straight lines in the image. P…
Improving a neural network model by explanation-guided training for glioma classification based on MRI data
Frantisek Sefcik, Wanda Benesova
In recent years, artificial intelligence (AI) systems have come to the forefront. These systems, mostly based on Deep learning (DL), achieve excellent results in areas such as imag…
Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs
Peter Bokor, Lukas Hudec, Ondrej Fabian +1
Prevention and early diagnosis of breast cancer (BC) is an essential prerequisite for the selection of proper treatment. The substantial pressure due to the increase of demand for…
Explaining Predictions of Deep Neural Classifier via Activation Analysis
Martin Stano, Wanda Benesova, Lukas Samuel Martak
In many practical applications, deep neural networks have been typically deployed to operate as a black box predictor. Despite the high amount of work on interpretability and high…