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ORCIDWanda Benesova
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2020 – today
- 2024
[j13]Matej Halinkovic
, Ondrej Fabian, Andrea Felsoova, Martin Kveton, Wanda Benesova:
Intrinsically explainable deep learning architecture for semantic segmentation of histological structures in heart tissue. Comput. Biol. Medicine 177: 108624 (2024)- [j12]Tibor Sloboda, Lukas Hudec, Matej Halinkovic, Wanda Benesova:
Attention-Enhanced Unpaired xAI-GANs for Transformation of Histological Stain Images. J. Imaging 10(2): 32 (2024) - [j11]Tomas Zilka, Wanda Benesova:
Radiomics of pituitary adenoma using computer vision: a review. Medical Biol. Eng. Comput. 62(12): 3581-3597 (2024) - [j10]Igor János, Wanda Benesova:
Improving radial lens distortion correction with multi-task learning. Pattern Recognit. Lett. 183: 147-154 (2024) - [c33]Igor János, Wanda Benesova:
Football Playing Field Registration Using Distance Maps. ICFSP 2024: 106-110 - 2023
- [c32]Maros Kollár, Lukas Hudec, Wanda Benesova:
Multiclass Texture Synthesis Using Generative Adversarial Networks. VISIGRAPP (1: GRAPP) 2023: 87-97 - [c31]Tibor Sloboda, Lukas Hudec, Wanda Benesova:
Editable Stain Transformation of Histological Images Using Unpaired GANs. ICIAP Workshops (2) 2023: 27-38 - [c30]Ivan Vykopal, Lukas Hudec, Martin Kveton, Ondrej Fabian, Andrea Felsoova, Wanda Benesova:
DeepLabV3+ Ensemble for Diagnosis of Cardiac Transplant Rejection. ICVS 2023: 112-122 - [c29]Tibor Sloboda, Lukas Hudec, Wanda Benesova:
xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network. ICVS 2023: 403-411 - [i6]Tibor Sloboda, Lukas Hudec, Wanda Benesova:
xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network. CoRR abs/2306.15760 (2023) - [i5]Tibor Sloboda, Lukas Hudec, Wanda Benesova:
Editable Stain Transformation Of Histological Images Using Unpaired GANs. CoRR abs/2312.03647 (2023) - 2022
- [j9]Tomás Pohl, Marek Jakab, Wanda Benesova:
Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease. Int. J. Imaging Syst. Technol. 32(2): 673-686 (2022) - [c28]Matej Halinkovic, Wanda Benesova:
SpringNet: A Novel Deep Neural Network Architecture for Histopathological Image Analysis. ICR 2022: 65-75 - 2021
- [j8]Miroslav Laco, Patrik Polatsek, Simon Dekrét, Wanda Benesova, Martina Baránková, Bronislava Strnádelová, Jana Koróniová, Mária Gablíková:
Effects of individual's emotions on saliency and visual search. Vis. Comput. 37(6): 1581-1592 (2021) - [c27]Miroslav Laco, Wanda Benesova:
Unsupervised clustering-based analysis of the measured eye-tracking data. ICMV 2021: 1208408 - [i4]Péter Bokor, Lukas Hudec, Ondrej Fabian, Wanda Benesova:
Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs. CoRR abs/2106.14708 (2021) - [i3]Frantisek Sefcik, Wanda Benesova:
Improving a neural network model by explanation-guided training for glioma classification based on MRI data. CoRR abs/2107.02008 (2021) - [i2]Igor János, Wanda Benesova:
Single Image Automatic Radial Distortion Compensation Using Deep Convolutional Network. CoRR abs/2112.08198 (2021) - 2020
- [j7]Marek Jakab, Lukas Hudec, Wanda Benesova:
Partial disentanglement of hierarchical variational auto-encoder for texture synthesis. IET Comput. Vis. 14(8): 564-574 (2020) - [c26]Jana Polláková, Miroslav Laco, Wanda Benesova:
Depth Perception Tendencies in the 3-D Environment of Virtual Reality. ICCVG 2020: 142-150 - [i1]Martin Stano, Wanda Benesova, Lukas Samuel Martak:
Explaining Predictions of Deep Neural Classifier via Activation Analysis. CoRR abs/2012.02248 (2020)
2010 – 2019
- 2019
- [c25]Martin Stano, Wanda Benesova, Lukas S. Martak:
Explainable 3D convolutional neural network using GMM encoding. ICMV 2019: 114331U - [c24]Miroslav Laco, Patrik Polatsek, Wanda Benesova:
Depth perception tendencies on a widescreen display: an experimental study. ICMV 2019: 114332D - [c23]Marek Jakab, Marek Stevuliak, Wanda Benesova:
Multi-modal brain tumor segmentation utilizing convolutional neural networks. ICMV 2019: 1143318 - [c22]Dominik Hradel, Lukas Hudec, Wanda Benesova:
Interpretable diagnosis of breast cancer from histological images using Siamese neural networks. ICMV 2019: 1143321 - [c21]Matej Kompanek, Martin Tamajka, Wanda Benesova:
Volumetrie Data Augmentation as an Effective Tool in MRI Classification Using 3D Convolutional Neural Network. IWSSIP 2019: 115-119 - [c20]Martin Tamajka, Wanda Benesova, Matej Kompanek:
Transforming Convolutional Neural Network to an Interpretable Classifier. IWSSIP 2019: 255-259 - [c19]Stefan Grivalsky, Martin Tamajka, Wanda Benesova:
Segmentation of gliomas in magnetic resonance images using recurrent neural networks. TSP 2019: 539-542 - 2018
- [j6]Patrik Polatsek, Manuela Waldner, Ivan Viola, Peter Kapec, Wanda Benesova:
Exploring visual attention and saliency modeling for task-based visual analysis. Comput. Graph. 72: 26-38 (2018) - [j5]Andrej Fogelton, Wanda Benesova:
Eye blink completeness detection. Comput. Vis. Image Underst. 176-177: 78-85 (2018) - [c18]Miroslav Laco, Wanda Benesova:
Depth in the visual attention modelling from the egocentric perspective of view. ICMV 2018: 110411A - [c17]Marek Jakab, Wanda Benesova:
Unsupervised similarity learning from compressed representations via Siamese autoencoders. ICMV 2018: 110412F - [c16]Patrik Polatsek, Marek Jakab, Wanda Benesova, Matej Kuzma:
Computational models of shape saliency. ICMV 2018: 110412B - [c15]Lukas Hudec, Wanda Benesova:
Texture Similarity Evaluation via Siamese Convolutional Neural Network. IWSSIP 2018: 1-5 - [c14]Lukas S. Martak, Márius Sajgalík, Wanda Benesova:
Polyphonic Note Transcription of Time-Domain Audio Signal with Deep WaveNet Architecture. IWSSIP 2018: 1-5 - [c13]Ramazan Aygun, Wanda Benesova:
Multimedia Retrieval that Works. MIPR 2018: 63-68 - 2016
- [j4]Andrej Fogelton, Wanda Benesova:
Eye blink detection based on motion vectors analysis. Comput. Vis. Image Underst. 148: 23-33 (2016) - [j3]Jaroslav Polec, Wanda Benesova, Radoslav Vargic, Ivana Ilcíková, Tibor Csóka:
Texture feature extraction using an orthogonal transform of arbitrarily shaped image regions. J. Electronic Imaging 25(6): 061413 (2016) - [j2]Patrik Polatsek, Wanda Benesova, Lucas Paletta, Roland Perko:
Novelty-based Spatiotemporal Saliency Detection for Prediction of Gaze in Egocentric Video. IEEE Signal Process. Lett. 23(3): 394-398 (2016) - [c12]Veronika Olesova, Wanda Benesova, Patrik Polatsek:
Visual attention in egocentric field-of-view using RGB-D data. ICMV 2016: 103410T - [c11]Ivana Ilcíková, Wanda Benesova, Jaroslav Polec, Tibor Csóka:
Texture aware image error concealment with fuzzy segmentation. IWSSIP 2016: 1-4 - [c10]Martin Tamajka, Wanda Benesova:
Automatic brain segmentation method based on supervoxels. IWSSIP 2016: 1-4 - 2015
- [j1]Jorge Martín-Gutiérrez, Peña Fabiani, Wanda Benesova, María Dolores Meneses Fernández, Carlos Efrén Mora Luis:
Augmented reality to promote collaborative and autonomous learning in higher education. Comput. Hum. Behav. 51: 752-761 (2015) - [c9]Marek Jakab, Wanda Benesova, Marek Racev:
3D object recognition based on local descriptors. Intelligent Robots and Computer Vision: Algorithms and Techniques 2015: 94060L - [c8]Ivana Uhlikova, Wanda Benesova, Jaroslav Polec, Tibor Csóka:
Texture aware image error concealment. EUROCON 2015: 1-6 - [c7]Patrik Polatsek, Wanda Benesova:
Bottom-up saliency model generation using superpixels. SCCG 2015: 121-129 - 2012
- [c6]Wanda Benesova, Michal Kottman, Oliver Sidla:
Hazardous sign detection for safety applications in traffic monitoring. Intelligent Robots and Computer Vision: Algorithms and Techniques 2012: 830109 - 2011
- [c5]Oliver Sidla, Michal Kottmann, Wanda Benesova:
Real-time pose invariant logo and pattern detection. Intelligent Robots and Computer Vision: Algorithms and Techniques 2011: 78780C
2000 – 2009
- 2009
- [c4]Oliver Sidla, Norbert Brändle, Wanda Benesova, Marcin Rosner, Yuriy Lypetskyy:
Towards complex visual surveillance algorithms on smart cameras. ICCV Workshops 2009: 847-853 - 2006
- [c3]Wanda Benesova, Alfred Rinnhofer, Gerhard Jakob:
Determining the Average Grain Size of Super-Alloy Micrographs. ICIP 2006: 2749-2752 - [c2]Alfred Rinnhofer, Wanda Benesova, Gerhard Jakob, Manfred Stockinger:
Feature Extraction from Micrographs of Forged Nickel Based Alloy. ICPR (2) 2006: 391-394 - [c1]Alfred Rinnhofer, Gerhard Jakob, Edwin Deutschl, Wanda Benesova, Jean-Philippe Andreu, Giuseppe Parziale, Albert Niel:
A multisensor system for texture-based high-speed hardwood lumber inspection. Image Processing: Algorithms and Systems 2006: 34-43
Coauthor Index
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