Projects funded by the NCN
Developing an AI algorithm for longitudinal tracking of post-treatment changes in brain metastases using a hybrid Uncertainty-Aware Explainable (UQ-XAI) architecture accounting for inter- and intra-rater variability in segmentations.
2025/57/N/NZ7/03738
Keywords:
artificial intelligence (AI) brain metastasis treatment monitoring image segmentation explainable AI (XAI) uncertainty modeling variability in expert segmentation medical image analysis biomarker therapeutic response gold standard
Descriptors:
- NZ7_14:
- NZ7_02:
- ST6_11:
Panel:
NZ7 - Diagnostic tools, therapies and public health: public health, epidemiology, environmental health risks and occupational medicine, medical ethics, drug discovery and therapies, pharmacology
Host institution :
Sano - Centrum Zindywidualizowanej Medycyny Obliczeniowej - Międzynarodowa Fundacja Badawcza
woj. małopolskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 24 - announced on 2025-03-17
Amount awarded: 69 997 PLN
Project start date (Y-m-d): 2026-01-13
Project end date (Y-m-d): 2027-01-12
Project duration:: 12 months (the same as in the proposal)
Project status: Pending project
Project description
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