Neurology | Radiology NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation. March 10, 2024
Oncology | Radiology Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study. February 29, 2024
Medical Physics | Radiology AI-based motion artifact severity estimation in undersampled MRI allowing for selection of appropriate reconstruction models. January 3, 2024
Cardiology | Radiology A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. October 2, 2023
Radiology DBGAN: A dual-branch generative adversarial network for undersampled MRI reconstruction. March 27, 2022
Radiology Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. September 10, 2021
Radiology Deep learning-based solvability of underdetermined inverse problems in medical imaging. January 31, 2021
Radiology IKWI-net: A cross-domain convolutional neural network for undersampled magnetic resonance image reconstruction. August 9, 2020