18 citations · 41 across the 11 of their papers we have counts for
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physics.med-ph2020★ 11 cited
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting
Carolin M. Pirkl, Pedro A. Gómez, Ilona Lipp +13
Magnetic Resonance Fingerprinting (MRF) enables the simultaneous quantification of multiple properties of biological tissues. It relies on a pseudo-random acquisition and the match…
cs.CV2020
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…