Publications

Peer-reviewed papers and preprints.

Full lists on Google Scholar and ORCID. Co-authored works span medical imaging, ML for clinical applications, and discrete mathematics.

Titles link to the publisher version. Where the published version sits behind a paywall, a free preprint is linked next to it.

2026

• Large-scale modality-invariant foundation models for brain MRI analysis: Application to lesion segmentation. P. Koutsouvelis, M. Gazda, L. Volmer, S. Amirrajab, K. Barbierik, B. Setlak, et al. IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 1–4, 2026. preprint

• Geometry-Aware and Semi-Supervised Ensembles for Multimodal Mitral Valve Segmentation. M. Gazda, D. Paik. 1st MICCAI Workshop on Medical World Models, 2026. Best Paper Award, MVAA 2026 Challenge, MICCAI 2026.

• Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge. A. Munk, S. Cerri, V. Nersesjan, C. H. Krag, J. Ambsdorf, P. R. García, et al. Preprint, arXiv:2604.11679, 2026.

• A Strong Linear Baseline for Whole-Heart Cardiac Shape Completion on CT, with an Open Eleven-Structure Statistical Shape Model. M. Gazda, J. Gazda, J. Gazda, P. Drotar. IEEE Access 14, 142705–142721, 2026.

• Multitask Adversarial Network for 3D Cardiac Reconstruction and Segmentation from Biplane Echocardiography with Cross-Modality Shape Prior. M. Gazda, P. Drotar, J. Gazda, R. Kanasz, S. Kadoury. Preprint, SSRN 7305295, 2026.

2025

• Prospective evaluation of speech as a digital biomarker for covert hepatic encephalopathy. J. Gazda, J. C. García-Pagán, S. Drazilova, P. Drotar, M. Hires, M. Gazda, et al. NPJ Digital Medicine 8 (1), 788, 2025.

• echoGAN: Extending the field of view in transthoracic echocardiography through conditional GAN-based outpainting. M. Gazda, J. Gazda, S. Kadoury, R. Kanasz, P. Drotar. Computer Methods and Programs in Biomedicine 269, 108869, 2025. preprint

• Utilization of Diffusion Models for Noise Reduction in Ultrasound Images. B. Setlák, P. Drotar, M. Gazda. 14th International Conference on Image Processing, Theory, Tools and Applications (IPTA), 2025.

2023

• Treatment response to ursodeoxycholic acid in primary biliary cholangitis: A systematic review and meta-analysis. J. Gazda, S. Drazilova, M. Gazda, M. Janicko, T. Koky, M. Macej, M. Carbone, et al. Digestive and Liver Disease 55 (10), 1318–1327, 2023.

• End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction. M. Gazda, P. Drotar, L. V. Romaguera, S. Kadoury. IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1–5, 2023. preprint

2022

• Biomedical image analysis competitions: The state of current participation practice. M. Eisenmann, A. Reinke, V. Weru, M. D. Tizabi, F. Isensee, T. J. Adler, et al. Preprint, arXiv:2212.08568, 2022.

• Towards annotation-efficient segmentation via image-to-image translation. E. Vorontsov, P. Molchanov, M. Gazda, C. Beckham, J. Kautz, S. Kadoury. Medical Image Analysis 82, 102624, 2022.

• Comparison of CNN-learned vs. handcrafted features for detection of Parkinson’s disease dysgraphia in a multilingual dataset. Z. Galaz, P. Drotar, J. Mekyska, M. Gazda, J. Mucha, V. Zvoncak, Z. Smekal, et al. Frontiers in Neuroinformatics 16, 877139, 2022.

• Convolutional neural network ensemble for Parkinson’s disease detection from voice recordings. M. Hireš, M. Gazda, P. Drotár, N. D. Pah, M. A. Motin, D. K. Kumar. Computers in Biology and Medicine 141, 105021, 2022.

• Voice-specific augmentations for Parkinson’s disease detection using deep convolutional neural network. M. Hireš, M. Gazda, L. Vavrek, P. Drotár. IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2022.

• Brief overview of neural networks for medical applications. M. Hireš, P. Bugata, M. Gazda, D. J. Hreško, R. Kanász, L. Vavrek, P. Drotár. Acta Electrotechnica et Informatica 22 (2), 34–44, 2022.

• Ensemble of convolutional neural networks for Parkinson’s disease diagnosis from offline handwriting. M. Gazda, M. Hireš, P. Drotár. Computing and Informatics, 2022.

• Mixup Augmentation for Kidney and Kidney Tumor Segmentation. M. Gazda, P. Bugata, J. Gazda, D. Hubacek, D. J. Hresko, P. Drotar. Kidney and Kidney Tumor Segmentation: MICCAI 2021 Challenge (KiTS 2021), 2022.

2021

• Self-supervised deep convolutional neural network for chest X-ray classification. M. Gazda, J. Plavka, J. Gazda, P. Drotar. IEEE Access 9, 151972–151982, 2021.

• Multiple-fine-tuned convolutional neural networks for Parkinson’s disease diagnosis from offline handwriting. M. Gazda, M. Hireš, P. Drotár. IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (1), 78–89, 2021.

• Artificial intelligence and its application to minimal hepatic encephalopathy diagnosis. J. Gazda, P. Drotar, S. Drazilova, J. Gazda, M. Gazda, M. Janicko, P. Jarcuska. Journal of Personalized Medicine 11 (11), 1090, 2021.

• External validation of UDCA response score in Slovak and Croatian patients with primary biliary cholangitis. J. Gazda, M. Janicko, S. Drazilova, I. Grgurevic, T. F. Kanizaj, T. Koller, et al. Canadian Journal of Gastroenterology and Hepatology 2021 (1), 9928065, 2021.

• Generalized eigenproblem of interval max-min (fuzzy) matrices. J. Plavka, M. Gazda. Fuzzy Sets and Systems 410, 27–44, 2021.

• Controllable and tolerable generalized eigenvectors of interval max-plus matrices. M. Gazda, J. Plavka. Kybernetika 57 (6), 922–938, 2021.

2019

• Ensemble feature selection using election methods and ranker clustering. P. Drotár, M. Gazda, L. Vokorokos. Information Sciences 480, 365–380, 2019.

2017

• Heterogeneous ensemble feature selection based on weighted Borda count. P. Drotár, M. Gazda, J. Gazda. 9th International Conference on Information Technology and Electrical Engineering (ICITEE), 2017.