Search Results for author: Carolin M. Pirkl

Found 4 papers, 1 papers with code

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

1 code implementation10 Feb 2022 Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee

This paper proposes an iterative deep learning plug-and-play reconstruction approach to MRF which is adaptive to the forward acquisition process.

De-aliasing Image Reconstruction +1

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

no code implementations26 Feb 2019 Mohammad Golbabaee, Carolin M. Pirkl, Marion I. Menzel, Guido Buonincontri, Pedro A. Gómez

Deep learning (DL) has recently emerged to address the heavy storage and computation requirements of the baseline dictionary-matching (DM) for Magnetic Resonance Fingerprinting (MRF) reconstruction.

Magnetic Resonance Fingerprinting Time Series +1

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