32 citations · 67 across the 14 of their papers we have counts for
5 papers · 1 filter
An off-the-grid approach to multi-compartment magnetic resonance fingerprinting
Mohammad Golbabaee, Clarice Poon
We propose a novel numerical approach to separate multiple tissue compartments in image voxels and to estimate quantitatively their nuclear magnetic resonance (NMR) properties and…
A temporal multiscale approach for MR Fingerprinting
Samuel Cortinhas, Mohammad Golbabaee, Matthias J. Ehrhardt
Quantitative MRI (qMRI) is becoming increasingly important for research and clinical applications, however, state-of-the-art reconstruction methods for qMRI are computationally pro…
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Consistency of the predictions with respect to the physical forward model is pivotal for reliably solving inverse problems. This consistency is mostly un-controlled in the current…
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders
Mohammad Golbabaee, Guido Buonincontri, Carolin Pirkl +4
We propose a dictionary-matching-free pipeline for multi-parametric quantitative MRI image computing. Our approach has two stages based on compressed sensing reconstruction and dee…
Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
Pedro A. Gómez, Matteo Cencini, Mohammad Golbabaee +8
Novel methods for quantitative, transient-state multiparametric imaging are increasingly being demonstrated for assessment of disease and treatment efficacy. Here, we build on thes…