Oncology | Radiology Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study. February 29, 2024
Neuroradiology Artificial Contrast: Deep Learning for Reducing Gadolinium-Based Contrast Agents in Neuroradiology. February 23, 2023
Radiology Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols: Limited Interchangeability of Synthesized Sequences With Original Full-Dose Images Despite Excellent Quantitative Performance. February 3, 2023
Radiology Constrained and unconstrained deep image prior optimization models with automatic regularization. August 1, 2022
Medical Imaging | Radiology Total Deep Variation: A Stable Regularization Method for Inverse Problems. November 2, 2021
Radiology Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. September 10, 2021
Image processing | Optimal Control Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration. April 17, 2020
Radiology Assessment of the generalization of learned image reconstruction and the potential for transfer learning. May 17, 2019
Radiology Learning a variational network for reconstruction of accelerated MRI data. February 21, 2019