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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:

2023

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 & Biology Society (EMBC)

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. 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. 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.

D. J. Hreško

Overview of semantic segmentation applications in medical imaging

Journal: 22nd Scientific Conference of Young Researchers