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Ing. Matej Gazda, PhD.

matej.gazda@tuke.sk

Ing. Matej Gazda, PhD.

matej.gazda@tuke.sk
member profile image

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:

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

M. Hireš, M. Gazda, L. Vavrek, P. Drotár

Voice-specific augmentations for Parkinson’s disease detection using deep convolutional neural network

Journal: SAMI 2022

2022

M. Hireš, P. Bugata, M. Gazda, D. J. Hreško, R. Kanász, L. Vavrek, P. Drotár

Brief Overview of Neural Networks for Medical Applications

Journal: Acta Electrotechnica et Informatica.

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

2021

M. Gazda, J. Plavka

Controllable and tolerable generalized eigenvectors of interval max-plus matrices

Journal: Kybernetika

M. Gazda

Convolutional neural networks for chest x-ray medical imaging

Journal: 21st Scientific Conference of Young Researchers.

M. Gazda, J. Plavka, J. Gazda, P. Drotár

Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification

Journal: IEEE Access

2020

M. Gazda

Transfer learning in deep convolutional networks for biomedical images

Journal: SCYR 2020

2019

P. Drotár, M. Gazda, L. Vokorokos

Ensemble feature selection using election methods and ranker clustering

Journal: Information Sciences

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.