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Ing. Dávid Jozef Hreško

Ing. Dávid Jozef Hreško

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Dávid Jozef Hreško is a PhD student at the Department of Computers and Informatics, Technical University of Košice, under Prof. Ing. Peter Drotar, PhD. His research focuses on implementing self-supervised deep-learning methods in medical imaging. He is also searching for improvements in GAN applications in various areas. During his study, he won several international coding competitions.

Research interests:
  • Generative Adversarial Networks
  • Medical image segmentation
  • Self-supervised deep learning methods
Publications:

2024

D. J. Hreško, Q. C. Ngo, R. Ogrin, P. Drotár, E. Ekinci, A. N. Tint, D. K. Kumar

Application of stylegan architecture for generating venous leg ulcer images

Journal: 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023).

D. J. Hreško, P. Drotár

BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation

Journal: IEEE Open Journal of Engineering in Medicine and Biology.

D. J. Hreško

Enhancing venous leg ulcer images via style mixing generation

Journal: 24th Scientific Conference of Young Researchers

2023

D. J. Hreško, M. Kurej, J. Gazda, P. Drotár

Ensembled autoencoder regularization for multi-structure segmentation for kidney cancer treatment

Journal: Lesion Segmentation in Surgical and Diagnostic Applications

D. J. Hreško, J. Vereb, V. Krigovsky, M. Gayová, P. Drotár

Refined mixup augmentation for diabetic foot ulcer segmentation

Journal: Diabetic Foot Ulcers Grand Challenge

2022

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.