32 citations · 67 across the 14 of their papers we have counts for
4 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…
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…
Deep MR Fingerprinting with total-variation and low-rank subspace priors
Mohammad Golbabaee, Carolin M. Pirkl, Marion I. Menzel +2
Deep learning (DL) has recently emerged to address the heavy storage and computation requirements of the baseline dictionary-matching (DM) for Magnetic Resonance Fingerprinting (MR…
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction
Mohammad Golbabaee, Zhouye Chen, Yves Wiaux +1
Current popular methods for Magnetic Resonance Fingerprint (MRF) recovery are bottlenecked by the heavy computations of a matched-filtering step due to the growing size and complex…