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ORCIDMatej Gazda
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2020 – today
- 2024
[i3]Matej Gazda, Samuel Kadoury, Jakub Gazda, Peter Drotár:
Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits. CoRR abs/2405.20981 (2024)- 2023
- [c2]Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury:
End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction. ISBI 2023: 1-5 - [i2]Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury:
End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction. CoRR abs/2303.07432 (2023) - 2022
- [j7]Máté Hires
, Matej Gazda, Peter Drotár, Nemuel Daniel Pah, Mohammod Abdul Motin, Dinesh Kant Kumar:
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings. Comput. Biol. Medicine 141: 105021 (2022) - [j6]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, Lubos Brabenec, Irena Rektorová:
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers Neuroinformatics 16: 877139 (2022) - [j5]Eugene Vorontsov, Pavlo Molchanov, Matej Gazda, Christopher Beckham, Jan Kautz, Samuel Kadoury:
Towards annotation-efficient segmentation via image-to-image translation. Medical Image Anal. 82: 102624 (2022) - [j4]Matej Gazda, Máté Hires, Peter Drotár:
Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 78-89 (2022) - 2021
- [j3]Matej Gazda, Ján Plávka, Jakub Gazda, Peter Drotár:
Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification. IEEE Access 9: 151972-151982 (2021) - [j2]Ján Plávka, Matej Gazda:
Generalized eigenproblem of interval max-min (fuzzy) matrices. Fuzzy Sets Syst. 410: 27-44 (2021) - [c1]Matej Gazda, Peter Bugata, Jakub Gazda, David Hubacek, David Jozef Hresko, Peter Drotár:
Mixup Augmentation for Kidney and Kidney Tumor Segmentation. KiTS@MICCAI 2021: 90-97 - [i1]Matej Gazda, Jakub Gazda, Ján Plávka, Peter Drotár:
Self-supervised deep convolutional neural network for chest X-ray classification. CoRR abs/2103.03055 (2021)
2010 – 2019
- 2019
- [j1]Peter Drotár, Matej Gazda, Liberios Vokorokos:
Ensemble feature selection using election methods and ranker clustering. Inf. Sci. 480: 365-380 (2019)
Coauthor Index
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