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Ing. Matej Gazda, PhD.

Ing. Matej Gazda, PhD.

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Matej Gazda received the B.Sc. and M.Sc. degrees in Computer Modelling from Technical University of Kosice, Slovakia, in 2017 and 2019 respectively. Currently, he is a PhD student in informatics at the Department of Computers and Informatics, Technical University of Kosice. He focuses on applications of AI in medical imaging in various disciplines, such as segmentation, localisation and diagnostics.

Research interests:
  • Handwriting and speech analysis
  • Feature selection
  • Medical imaging
Publications:

2024

M. Gazda, P. Drotár, L. V. Romaguera, S. Kadoury

End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction

Journal: 2023 IEEE 20th International Symposium on Biomedical Imaging.

J. Gazda, S. Dražilová, M. Gazda, M. Janičko, T. Koky, M. Macej, M. Carbone, P. Jarčuška

Treatment response to ursodeoxycholic acid in primary biliary cholangitis: A systematic review and meta-analysis

Journal: Digestive and Liver Disease

2023

M. Gazda, M. Hireš, P. Drotár

Ensemble of convolutional neural networks for Parkinson’s disease diagnosis from offline handwriting

Journal: The 20th Conference of the International Graphonomics Society.

E. Vorontsov, P. Molchanov, M. Gazda, C. Beckham, J. Kautz, S. Kadoury

Towards annotation-efficient segmentation via image-to-image translation

Journal: Medical Image Analysis

2022

M. Hireš, M. Gazda, P. Drotár, N. D. Pah, M. A. Motin, D. K. Kumar

Convolutional neural network ensemble for parkinson's disease detection from voice recordings

Journal: Computers in Biology and Medicine

J. Plavka, M. Gazda

Generalized eigenproblem of interval max-min (fuzzy) matrices

Journal: Fuzzy Sets and Systems.

M. Gazda, P. Bugata, J. Gazda, D. Hubacek, D. J. Hreško, P. Drotár

Mixup augmentation for kidney and kidney tumor segmentation

Journal: Kidney and Kidney Tumor Segmentation.

M. Gazda, M. Hireš, P. Drotár

Multiple-fine-tuned convolutional neural networks for parkinson’s disease diagnosis from offline handwriting

Journal: IEEE Transactions on Systems, Man, and Cybernetics

2017

P. Drotár, M. Gazda, J. Gazda

Heterogeneous ensemble feature selection based on weighted Borda count

Journal: ICITEE 2017.

M. Zoričák, M. Gazda

Industries evolution modelled by cellular automata

Journal: SEAM 2017.