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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:

2025

D. J. Hreško, P. Drotár, Q. C. Ngo, D. Kumar

Enhanced domain adaptation for foot ulcer segmentation through mixing self-trained weak labels

Journal: Journal of Imaging Informatics in Medicine.

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.

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.