Mixup Augmentation for Kidney and Kidney Tumor Segmentation. - Matej Gazda; Peter Bugata; Jakub Gazda; David Hubacek; David Jozef Hresko; Peter Drotár (KiTS@MICCAI, 2021)

Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification. - Matej Gazda; Ján Plávka; Jakub Gazda; Peter Drotár (IEEE Access, 2021)

Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment. - David Jozef Hresko; Marek Kurej; Jakub Gazda; Peter Drotár (CuRIOUS/KiPA/MELA@MICCAI, 2022)

Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits. - Matej Gazda; Samuel Kadoury; Jakub Gazda; Peter Drotár (CoRR, 2024)

Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features. - Katarína Demcáková; Peter Drotár; Máté Hires; Jakub Gazda; Peter Jarcuska (CBMS, 2025)

echoGAN: Extending the field of view in Transthoracic Echocardiography through conditional GAN-based outpainting. - Matej Gazda; Jakub Gazda; Samuel Kadoury; Róbert Kanász; Peter Drotár (Comput. Methods Programs Biomed., 2025)