Georgios
Athanasiou
PhD Student
Learning Systems
Research areas:
- Deep Learning
- Image Segmentation
- Machine Learning
- Probabilistic Graphical Models
Impact areas:
- Healthcare
SDGs:
- GOAL 03: Good Health and Well-being
2023
Georgios Athanasiou,
Josep Lluis Arcos,
& Jesus Cerquides
(2023).
Enhancing Medical Image Segmentation: Ground Truth Optimization through Evaluating Uncertainty in Expert Annotations.
Mathematics, 11.
https://doi.org/10.3390/math11173771.
[BibTeX]
[PDF]
A. Raes,
N. Azari-Dolatabad,
G. Athanasiou,
J.L. Arcos,
J. Cerquides,
G. Opsomer,
K. Smits,
D. Angel-Velez,
& A. {Van Soom}
(2023).
Measuring cumulus expansion of bovine cumulus-oocyte complexes: comparing the reliability of three methods.
Animal - science proceedings, 14, 449-450.
https://doi.org/10.1016/j.anscip.2023.03.032.
[BibTeX]
[PDF]
2022
Georgios Athanasiou,
Jesus Cerquides,
Annelies Raes,
Nima Azari-Dolatabad,
Daniel Angel-Velez,
Ann Van Soom,
& Josep Lluis Arcos
(2022).
Detecting the Area of Bovine Cumulus Oocyte Complexes Using Deep Learning and Semantic Segmentation.
A. Cortés al. (Eds.),
Frontiers in Artificial Intelligence and Applications (pp 249-258).
IOS Press.
https://doi.org/10.3233/FAIA220346.
[BibTeX]