Oncology | Radiology Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study. February 29, 2024
Medical Imaging | Radiology Greybox: A hybrid algorithm for direct estimation of tracer kinetic parameters from undersampled DCE-MRI data. January 12, 2024
Neurology | Radiology Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke. August 15, 2023
Oncology | Radiology VTDCE-Net: A time invariant deep neural network for direct estimation of pharmacokinetic parameters from undersampled DCE MRI data. November 10, 2022
Radiology SpiNet: A Deep Neural Network for Schatten p-norm Regularized Medical Image Reconstruction. February 1, 2021
Radiology Comparison of iterative parametric and indirect deep learning-based reconstruction methods in highly undersampled DCE-MR Imaging of the breast. August 11, 2020