14 citations · 43 across the 7 of their papers we have counts for
7 papers
Quantitative mapping from conventional MRI using self-supervised physics-guided deep learning: applications to a large-scale, clinically heterogeneous dataset
Jelmer van Lune, Stefano Mandija, Oscar van der Heide +5
Magnetic resonance imaging (MRI) is a cornerstone of clinical neuroimaging, yet conventional MRIs provide qualitative information heavily dependent on scanner hardware and acquisit…
Color-map recommendation for MR relaxometry maps
Miha Fuderer, Barbara Wichtmann, Fabio Crameri +15
Purpose: To harmonize the use of color for MR relaxometry maps and therefore recommend the use of specific color-maps for representing T1 and T2 maps. Methods: Perceptually lineari…
Real-time myocardial landmark tracking for MRI-guided cardiac radio-ablation using Gaussian Processes
Niek R. F. Huttinga, Osman Akdag, Martin F. Fast +5
The high speed of cardiorespiratory motion introduces a unique challenge for cardiac stereotactic radio-ablation (STAR) treatments with the MR-linac. Such treatments require tracki…
Generalizable synthetic MRI with physics-informed convolutional networks
Luuk Jacobs, Stefano Mandija, Hongyan Liu +3
In this study, we develop a physics-informed deep learning-based method to synthesize multiple brain magnetic resonance imaging (MRI) contrasts from a single five-minute acquisitio…
Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC within 3 minutes
Hongyan Liu, Oscar van der Heide, Stefano Mandija +2
MR-STAT is an emerging quantitative magnetic resonance imaging technique which aims at obtaining multi-parametric tissue parameter maps from single short scans. It describes the re…
Combining Deep Learning and 3D Contrast Source Inversion in MR-based Electrical Properties Tomography
Reijer L. Leijsen, Cornelis A. T. van den Berg, Andrew G. Webb +2
Magnetic resonance-electrical properties tomography (MR-EPT) is a technique used to estimate the conductivity and permittivity of tissues from MR measurements of the transmit magne…
Deep learning brain conductivity mapping using a patch-based 3D U-net
Nils Hampe, Ulrich Katscher, Cornelis A. T. van den Berg +2
Purpose: To investigate deep learning electrical properties tomography (EPT) for application on different simulated and in-vivo datasets including pathologies for obtaining quantit…