Determining the Average Grain Size of Super-Alloy Micrographs. - Wanda Benesova; Alfred Rinnhofer; Gerhard Jakob (ICIP, 2006)

Feature Extraction from Micrographs of Forged Nickel Based Alloy. - Alfred Rinnhofer; Wanda Benesova; Gerhard Jakob; Manfred Stockinger (ICPR (2), 2006)

A multisensor system for texture-based high-speed hardwood lumber inspection. - Alfred Rinnhofer; Gerhard Jakob; Edwin Deutschl; Wanda Benesova; Jean-Philippe Andreu; Giuseppe Parziale; Albert Niel (Image Processing: Algorithms and Systems, 2006)

Towards complex visual surveillance algorithms on smart cameras. - Oliver Sidla; Norbert Brändle; Wanda Benesova; Marcin Rosner; Yuriy Lypetskyy (ICCV Workshops, 2009)

Real-time pose invariant logo and pattern detection. - Oliver Sidla; Michal Kottmann; Wanda Benesova (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2011)

Hazardous sign detection for safety applications in traffic monitoring. - Wanda Benesova; Michal Kottman; Oliver Sidla (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2012)

3D object recognition based on local descriptors. - Marek Jakab; Wanda Benesova; Marek Racev (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2015)

Texture aware image error concealment. - Ivana Uhlikova; Wanda Benesova; Jaroslav Polec; Tibor Csóka (EUROCON, 2015)

Bottom-up saliency model generation using superpixels. - Patrik Polatsek; Wanda Benesova (SCCG, 2015)

Augmented reality to promote collaborative and autonomous learning in higher education. - Jorge Martín-Gutiérrez; Peña Fabiani; Wanda Benesova; María Dolores Meneses Fernández; Carlos Efrén Mora Luis (Comput. Hum. Behav., 2015)

Visual attention in egocentric field-of-view using RGB-D data. - Veronika Olesova; Wanda Benesova; Patrik Polatsek (ICMV, 2016)

Texture aware image error concealment with fuzzy segmentation. - Ivana Ilcíková; Wanda Benesova; Jaroslav Polec; Tibor Csóka (IWSSIP, 2016)

Automatic brain segmentation method based on supervoxels. - Martin Tamajka; Wanda Benesova (IWSSIP, 2016)

Eye blink detection based on motion vectors analysis. - Andrej Fogelton; Wanda Benesova (Comput. Vis. Image Underst., 2016)

Texture feature extraction using an orthogonal transform of arbitrarily shaped image regions. - Jaroslav Polec; Wanda Benesova; Radoslav Vargic; Ivana Ilcíková; Tibor Csóka (J. Electronic Imaging, 2016)

Novelty-based Spatiotemporal Saliency Detection for Prediction of Gaze in Egocentric Video. - Patrik Polatsek; Wanda Benesova; Lucas Paletta; Roland Perko (IEEE Signal Process. Lett., 2016)

Unsupervised similarity learning from compressed representations via Siamese autoencoders. - Marek Jakab; Wanda Benesova (ICMV, 2018)

Depth in the visual attention modelling from the egocentric perspective of view. - Miroslav Laco; Wanda Benesova (ICMV, 2018)

Computational models of shape saliency. - Patrik Polatsek; Marek Jakab; Wanda Benesova; Matej Kuzma (ICMV, 2018)

Texture Similarity Evaluation via Siamese Convolutional Neural Network. - Lukas Hudec; Wanda Benesova (IWSSIP, 2018)

Polyphonic Note Transcription of Time-Domain Audio Signal with Deep WaveNet Architecture. - Lukas S. Martak; Márius Sajgalík; Wanda Benesova (IWSSIP, 2018)

Multimedia Retrieval that Works. - Ramazan Aygun; Wanda Benesova (MIPR, 2018)

Exploring visual attention and saliency modeling for task-based visual analysis. - Patrik Polatsek; Manuela Waldner; Ivan Viola; Peter Kapec; Wanda Benesova (Comput. Graph., 2018)

Eye blink completeness detection. - Andrej Fogelton; Wanda Benesova (Comput. Vis. Image Underst., 2018)

Interpretable diagnosis of breast cancer from histological images using Siamese neural networks. - Dominik Hradel; Lukas Hudec; Wanda Benesova (ICMV, 2019)

Multi-modal brain tumor segmentation utilizing convolutional neural networks. - Marek Jakab; Marek Stevuliak; Wanda Benesova (ICMV, 2019)

Depth perception tendencies on a widescreen display: an experimental study. - Miroslav Laco; Patrik Polatsek; Wanda Benesova (ICMV, 2019)

Explainable 3D convolutional neural network using GMM encoding. - Martin Stano; Wanda Benesova; Lukas S. Martak (ICMV, 2019)

Volumetrie Data Augmentation as an Effective Tool in MRI Classification Using 3D Convolutional Neural Network. - Matej Kompanek; Martin Tamajka; Wanda Benesova (IWSSIP, 2019)

Transforming Convolutional Neural Network to an Interpretable Classifier. - Martin Tamajka; Wanda Benesova; Matej Kompanek (IWSSIP, 2019)

Segmentation of gliomas in magnetic resonance images using recurrent neural networks. - Stefan Grivalsky; Martin Tamajka; Wanda Benesova (TSP, 2019)

Depth Perception Tendencies in the 3-D Environment of Virtual Reality. - Jana Polláková; Miroslav Laco; Wanda Benesova (ICCVG, 2020)

Explaining Predictions of Deep Neural Classifier via Activation Analysis. - Martin Stano; Wanda Benesova; Lukas Samuel Martak (CoRR, 2020)

Partial disentanglement of hierarchical variational auto-encoder for texture synthesis. - Marek Jakab; Lukas Hudec; Wanda Benesova (IET Comput. Vis., 2020)

Unsupervised clustering-based analysis of the measured eye-tracking data. - Miroslav Laco; Wanda Benesova (ICMV, 2021)

Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs. - Péter Bokor; Lukas Hudec; Ondrej Fabian; Wanda Benesova (CoRR, 2021)

Improving a neural network model by explanation-guided training for glioma classification based on MRI data. - Frantisek Sefcik; Wanda Benesova (CoRR, 2021)

Single Image Automatic Radial Distortion Compensation Using Deep Convolutional Network. - Igor János; Wanda Benesova (CoRR, 2021)

Effects of individual's emotions on saliency and visual search. - Miroslav Laco; Patrik Polatsek; Simon Dekrét; Wanda Benesova; Martina Baránková; Bronislava Strnádelová; Jana Koróniová; Mária Gablíková (Vis. Comput., 2021)

SpringNet: A Novel Deep Neural Network Architecture for Histopathological Image Analysis. - Matej Halinkovic; Wanda Benesova (ICR, 2022)

Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease. - Tomás Pohl; Marek Jakab; Wanda Benesova (Int. J. Imaging Syst. Technol., 2022)

Multiclass Texture Synthesis Using Generative Adversarial Networks. - Maros Kollár; Lukas Hudec; Wanda Benesova (VISIGRAPP (1: GRAPP), 2023)

Editable Stain Transformation of Histological Images Using Unpaired GANs. - Tibor Sloboda; Lukas Hudec; Wanda Benesova (ICIAP Workshops (2), 2023)

xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network. - Tibor Sloboda; Lukas Hudec; Wanda Benesova (ICVS, 2023)

DeepLabV3+ Ensemble for Diagnosis of Cardiac Transplant Rejection. - Ivan Vykopal; Lukas Hudec; Martin Kveton; Ondrej Fabian; Andrea Felsoova; Wanda Benesova (ICVS, 2023)

Football Playing Field Registration Using Distance Maps. - Igor János; Wanda Benesova (ICFSP, 2024)

Intrinsically explainable deep learning architecture for semantic segmentation of histological structures in heart tissue. - Matej Halinkovic; Ondrej Fabian; Andrea Felsoova; Martin Kveton; Wanda Benesova (Comput. Biol. Medicine, 2024)

Improving radial lens distortion correction with multi-task learning. - Igor János; Wanda Benesova (Pattern Recognit. Lett., 2024)

Attention-Enhanced Unpaired xAI-GANs for Transformation of Histological Stain Images. - Tibor Sloboda; Lukas Hudec; Matej Halinkovic; Wanda Benesova (J. Imaging, 2024)

Radiomics of pituitary adenoma using computer vision: a review. - Tomas Zilka; Wanda Benesova (Medical Biol. Eng. Comput., 2024)