Ensemble feature selection using election methods and ranker clustering. - Peter Drotár; Matej Gazda; Liberios Vokorokos (Inf. Sci., 2019)

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)

Generalized eigenproblem of interval max-min (fuzzy) matrices. - Ján Plávka; Matej Gazda (Fuzzy Sets Syst., 2021)

Controllable and tolerable generalized eigenvectors of interval max-plus matrices. - Matej Gazda; Ján Plávka (Kybernetika, 2021)

Convolutional neural network ensemble for Parkinson's disease detection from voice recordings. - Máté Hires; Matej Gazda; Peter Drotár; Nemuel Daniel Pah; Mohammod Abdul Motin; Dinesh Kant Kumar (Comput. Biol. Medicine, 2022)

Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. - Zoltan Galaz; Peter Drotár; Jirí Mekyska; Matej Gazda; Jan Mucha; Vojtech Zvoncak; Zdenek Smékal; Marcos Faúndez-Zanuy; Reinel Castrillon; Juan Rafael Orozco-Arroyave; Steven Z. Rapcsak; Tamas Kincses; et al. (Frontiers Neuroinformatics, 2022)

Towards annotation-efficient segmentation via image-to-image translation. - Eugene Vorontsov; Pavlo Molchanov 001; Matej Gazda; Christopher Beckham; Jan Kautz; Samuel Kadoury (Medical Image Anal., 2022)

Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting. - Matej Gazda; Máté Hires; Peter Drotár (IEEE Trans. Syst. Man Cybern. Syst., 2022)

End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction. - Matej Gazda; Peter Drotár; Liset Vázquez Romaguera; Samuel Kadoury (ISBI, 2023)

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

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)