Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models
Sign Up to like & getrecommendations! Published in 2022 at "Nuclear Science and Engineering"
DOI: 10.1080/00295639.2022.2123203
Abstract: Abstract Recent performance breakthroughs in artificial intelligence (AI) and machine learning (ML), especially advances in deep learning, the availability of powerful and easy-to-use ML libraries (e.g., scikit-learn, TensorFlow, PyTorch), and increasing computational power, have led… read more here.
Keywords: neural network; deep neural; machine learning; quantification deep ... See more keywords
Uncertainty Quantification in Deep MRI Reconstruction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2020.3025065
Abstract: Reliable MRI is crucial for accurate interpretation in therapeutic and diagnostic tasks. However, undersampling during MRI acquisition as well as the overparameterized and non-transparent nature of deep learning (DL) leaves substantial uncertainty about the accuracy… read more here.
Keywords: reconstruction; mri reconstruction; uncertainty; quantification deep ... See more keywords