Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation. - Matthias J. Ehrhardt; Marta M. Betcke (CoRR, 2015)

Multicontrast MRI Reconstruction with Structure-Guided Total Variation. - Matthias J. Ehrhardt; Marta M. Betcke (SIAM J. Imaging Sci., 2016)

Model based learning for accelerated, limited-view 3D photoacoustic tomography. - Andreas Hauptmann; Felix Lucka; Marta M. Betcke; Nam Huynh; Ben T. Cox; Paul C. Beard; Sébastien Ourselin; Simon R. Arridge (CoRR, 2017)

Restarting iterative projection methods for Hermitian nonlinear eigenvalue problems with minmax property. - Marta M. Betcke; Heinrich Voss (Numerische Mathematik, 2017)

Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic Tomography. - Marta M. Betcke; Ben T. Cox; Nam Huynh; Edward Z. Zhang; Paul C. Beard; Simon R. Arridge (IEEE Trans. Computational Imaging, 2017)

Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction. - Andreas Hauptmann; Ben T. Cox; Felix Lucka; Nam Huynh; Marta M. Betcke; Paul C. Beard; Simon R. Arridge (MLMIR@MICCAI, 2018)

Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation. - Felix Lucka; Nam Huynh; Marta M. Betcke; Edward Zhang 001; Paul C. Beard; Ben T. Cox; Simon R. Arridge (SIAM J. Imaging Sci., 2018)

Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. - Andreas Hauptmann; Felix Lucka; Marta M. Betcke; Nam Huynh; Jonas Adler; Ben T. Cox; Paul C. Beard; Sébastien Ourselin; Simon R. Arridge (IEEE Trans. Medical Imaging, 2018)

Photoacoustic Reconstruction Using Sparsity in Curvelet Frame. - Bolin Pan; Simon R. Arridge; Felix Lucka; Ben T. Cox; Nam Huynh; Paul C. Beard; Edward Z. Zhang; Marta M. Betcke (CoRR, 2020)

Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. - Martin Benning; Marta M. Betcke; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb (SIAM J. Imaging Sci., 2021)

Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image Versus Data Domain. - Bolin Pan; Simon R. Arridge; Felix Lucka; Ben T. Cox; Nam Huynh; Paul C. Beard; Edward Z. Zhang; Marta M. Betcke (IEEE Trans. Computational Imaging, 2021)

Hamilton-Green solver for the forward and adjoint problems in photoacoustic tomography. - Francesc Rullan; Marta M. Betcke (J. Comput. Phys., 2022)

Learned Interferometric Imaging for the SPIDER Instrument. - Matthijs Mars; Marta M. Betcke; Jason D. McEwen (CoRR, 2023)

Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging. - Tobías I. Liaudat; Matthijs Mars; Matthew A. Price; Marcelo Pereyra; Marta M. Betcke; Jason D. McEwen (CoRR, 2023)

On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector. - Bolin Pan; Marta M. Betcke (SIAM J. Imaging Sci., 2023)

Temporal acoustic point holography. - Giorgos Christopoulos; Lei Gao 007; Diego Martínez Plasencia; Marta Betcke; Ryuji Hirayama; Sriram Subramanian (SIGGRAPH (Conference Paper Track), 2024)

Learned radio interferometric imaging for varying visibility coverage. - Matthijs Mars; Marta M. Betcke; Jason D. McEwen (CoRR, 2024)

Parallel-in-Time Solutions with Random Projection Neural Networks. - Marta M. Betcke; Lisa Maria Kreusser; Davide Murari (CoRR, 2024)

Generative imaging for radio interferometry with fast uncertainty quantification. - Matthijs Mars; Tobías I. Liaudat; Jessica J. Whitney; Marta M. Betcke; Jason D. McEwen (CoRR, 2025)