Research / Projects
A gallery of our past and current projects, published works in the fields of artificial intelligence and natural sciences.
A novel active learning method for a U-Net based segmentation
Deep evidential regression for radiotherapy dose prediction
Uncertainty heatmaps from Evidential Deep Learning
Modeling a web of biochemical reaction pathways for ultra-high-dose-rate radiotherapy
Fourier Neural Networks for predicting aircraft engine faults
Deriving shadows of rotating black holes from Einstein’s theory of relativity
