JournalJournal of Imaging Informatics in Medicine.
Members
Enhanced domain adaptation for foot ulcer segmentation through mixing self-trained weak labels Application of stylegan architecture for generating venous leg ulcer images BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation Ensembled autoencoder regularization for multi-structure segmentation for kidney cancer treatment Refined mixup augmentation for diabetic foot ulcer segmentation Mixup augmentation for kidney and kidney tumor segmentation
Ing. Dávid Jozef Hreško, PhD.
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
6 publications · 2022–2025
2025
12024
2Conference2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023).
JournalIEEE Open Journal of Engineering in Medicine and Biology.
2023
2ConferenceLesion Segmentation in Surgical and Diagnostic Applications
ConferenceDiabetic Foot Ulcers Grand Challenge
2022
1ConferenceKidney and Kidney Tumor Segmentation.