32 citations · 67 across the 14 of their papers we have counts for
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A Fully Convolutional Network for MR Fingerprinting
Dongdong Chen, Mohammad Golbabaee, Pedro A. Gomez +2
Magnetic Resonance Fingerprinting (MRF) methods typically rely on dictionary matching to map the temporal MRF signals to quantitative tissue parameters. These methods suffer from h…
The Practicality of Stochastic Optimization in Imaging Inverse Problems
Junqi Tang, Karen Egiazarian, Mohammad Golbabaee +1
In this work we investigate the practicality of stochastic gradient descent and recently introduced variants with variance-reduction techniques in imaging inverse problems. Such al…
Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: an alternative to conventional spiral MR Fingerprinting
Arnold Julian Vinoj Benjamin, Pedro A. Gomez, Mohammad Golbabaee +4
Purpose: To develop an accelerated Cartesian MRF implementation using a multi-shot EPI sequence for rapid simultaneous quantification of T1 and T2 parameters. Methods: The proposed…
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…