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

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

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

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

Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans. - Lukás Gajdosech; Viktor Kocur; Martin Stuchlík; Lukas Hudec; Martin Madaras (CoRR, 2021)

Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scan. - Lukás Gajdosech; Viktor Kocur; Martin Stuchlík; Lukas Hudec; Martin Madaras (VISIGRAPP (4: VISAPP), 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)

Synthesis for Dataset Augmentation of H&E Stained Images with Semantic Segmentation Masks. - Peter Sakalik; Lukas Hudec; Marek Jakab; Vanda Benesová; Ondrej Fabian (VISIGRAPP (4: VISAPP), 2023)

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