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Georgios
Georgios
 
Athanasiou
Athanasiou

PhD Student
PhD Student


Georgios
Georgios
 
Athanasiou
Athanasiou
PhD Student
PhD Student

Learning Systems
Learning Systems
(+34) 93 580 9570 ext.
431833
431833
gathanasiou@iiia.csic.es
gathanasiou@iiia.csic.es
Research areas:
  • Deep Learning
  • Image Segmentation
  • Machine Learning
  • Probabilistic Graphical Models
  • Deep Learning
  • Image Segmentation
  • Machine Learning
  • Probabilistic Graphical Models
Impact areas:
  • Healthcare
  • Healthcare
SDGs:
  • GOAL 03: Good Health and Well-being
  • 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]