Fazekas S
No ORCID on file
· 3 papers in corpus
· active 2025-2026
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- Bérczi V 2
- Budai BK 2
- Góg I 1
- Gyánó M 1
- Habeeballah O 1
- Harmat Z 1
- Kalina I 1
- Krzysztof Pyra 1
- Kolos Turtóczki 1
- Maurovich Horvat P 1
2026
Accurate tissue delineation is essential in radiotherapy; however, conventional segmentation metrics mainly quantify geometric overlap and lack clinical interpretability. We proposed an automated Python-based evaluation pipeline using a bid…
2026
PurposeDigital variance angiography (DVA), a recently developed image processing technology, provides a higher contrast-to-noise ratio (CNR) and better image quality during lower limb interventions than digital subtraction angiography (DSA)…
2025
BackgroundThe ellipsoidal formula is the most common method used to determine the volume of fibroids on MR images. Labor-intensive manual segmentation provides the opportunity to measure the volume of a given lesion on a voxel basis. The ai…