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Mohammad Golbabaee

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Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models

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Jun 19, 2023
Holly Wilson, Scott Wellington, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Eriksson, Oliver Watts, Xi Chen, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe

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Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI

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Nov 23, 2022
Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee

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A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers

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Feb 10, 2022
Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee

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Deep Unrolling for Magnetic Resonance Fingerprinting

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Jan 25, 2022
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee

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An off-the-grid approach to multi-compartment magnetic resonance fingerprinting

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Nov 23, 2020
Mohammad Golbabaee, Clarice Poon

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Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations

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Jul 06, 2020
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee

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Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders

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Jan 23, 2020
Mohammad Golbabaee, Guido Bounincontri, Carolin Pirkl, Marion Menzel, Bjoern Menze, Mike Davies, Pedro Gomez

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The Practicality of Stochastic Optimization in Imaging Inverse Problems

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Nov 08, 2019
Junqi Tang, Karen Egiazarian, Mohammad Golbabaee, Mike Davies

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Deep MR Fingerprinting with total-variation and low-rank subspace priors

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Feb 26, 2019
Mohammad Golbabaee, Carolin M. Pirkl, Marion I. Menzel, Guido Buonincontri, Pedro A. Gómez

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Geometry of Deep Learning for Magnetic Resonance Fingerprinting

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Nov 04, 2018
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies

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