3 papers
cs.LG2026
Enhancing the Reliability of Medical AI through Expert-guided Uncertainty Modeling
Aleksei Khalin, Ekaterina Zaychenkova, Aleksandr Yugay +4
Artificial intelligence (AI) systems accelerate medical workflows and improve diagnostic accuracy in healthcare, serving as second-opinion systems. However, the unpredictability of…
cs.CV2024
Expert-aware uncertainty estimation for quality control of neural-based blood typing
Ekaterina Zaychenkova, Dmitrii Iarchuk, Sergey Korchagin +2
In medical diagnostics, accurate uncertainty estimation for neural-based models is essential for complementing second-opinion systems. Despite neural network ensembles' proficiency…
cs.CV2024
NTIRE 2024 Challenge on Night Photography Rendering
Egor Ershov, Artyom Panshin, Oleg Karasev +47
This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nig…