Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images. - Hoppe, Frederik; Verdun, Claudio Mayrink; Laus, Hannah; Endt, Sebastian; Menzel, Marion I.; Krahmer, Felix; Rauhut, Holger (2024)

Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders. - Mayo, Perla; Cencini, Matteo; Fatania, Ketan; Pirkl, Carolin M.; Menzel, Marion I.; Menze, Bjoern H.; Tosetti, Michela; Golbabaee, Mohammad (2024)

StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations. - Mayo, Perla; Cencini, Matteo; Pirkl, Carolin M.; Menzel, Marion I.; Tosetti, Michela; Menze, Bjoern H.; Golbabaee, Mohammad (2024)

With or Without Replacement? Improving Confidence in Fourier Imaging. - Hoppe, Frederik; Verdun, Claudio Mayrink; Krahmer, Felix; Menzel, Marion I.; Rauhut, Holger (CoRR, 2024)

High-Dimensional Confidence Regions in Sparse MRI. - Hoppe, Frederik; Krahmer, Felix; Verdun, Claudio Mayrink; Menzel, Marion I.; Rauhut, Holger (CoRR, 2024)

Deep Image Priors for Magnetic Resonance Fingerprinting with pretrained Bloch-consistent denoising autoencoders. - Mayo, Perla; Cencini, Matteo; Fatania, Ketan; Pirkl, Carolin M.; Menzel, Marion I.; Menze, Bjoern H.; Tosetti, Michela; Golbabaee, Mohammad (CoRR, 2024)

StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations. - Mayo, Perla; Cencini, Matteo; Pirkl, Carolin M.; Menzel, Marion I.; Tosetti, Michela; Menze, Bjoern H.; Golbabaee, Mohammad (CoRR, 2024)

High-Dimensional Confidence Regions in Sparse MRI. - Hoppe, Frederik; Krahmer, Felix; Verdun, Claudio Mayrink; Menzel, Marion I.; Rauhut, Holger (2023)

Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. - Fatania, Ketan; Chau, Kwai Y.; Pirkl, Carolin M.; Menzel, Marion I.; Golbabaee, Mohammad (2023)

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. - Nan, Yang; Ser, Javier Del; Walsh, Simon; Schönlieb, Carola; Roberts, Michael; Selby, Ian; Howard, Kit; Owen, John; Neville, Jon; Guiot, Julien; Ernst, Benoit; Pastor, Ana; et al. (Inf. Fusion, 2022)

Learning residual motion correction for fast and robust 3D multiparametric MRI. - Pirkl, Carolin M.; Cencini, Matteo; Kurzawski, Jan W.; Waldmannstetter, Diana; Li, Hongwei; Sekuboyina, Anjany; Endt, Sebastian; Peretti, Luca; Donatelli, Graziella; Pasquariello, Rosa; Costagli, Mauro; Buonincontri, Guido; et al. (Medical Image Anal., 2022)

A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers. - Fatania, Ketan; Pirkl, Carolin M.; Menzel, Marion I.; Hall, Peter; Golbabaee, Mohammad (2022)

Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. - Nan, Yang; Ser, Javier Del; Walsh, Simon; Schönlieb, Carola; Roberts, Michael; Selby, Ian; Howard, Kit; Owen, John; Neville, Jon; Guiot, Julien; Ernst, Benoit; Pastor, Ana; et al. (CoRR, 2022)

A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers. - Fatania, Ketan; Pirkl, Carolin M.; Menzel, Marion I.; Hall, Peter; Golbabaee, Mohammad (CoRR, 2022)

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network. - Kaushik, Sandeep; Bylund, Mikael; Cozzini, Cristina; Shanbhag, Dattesh; Petit, Steven F.; Wyatt, Jonathan J.; Menzel, Marion I.; Pirkl, Carolin M.; Mehta, Bhairav; Chauhan, Vikas; Chandrasekharan, Kesavadas; Jonsson, Joakim; et al. (CoRR, 2022)

Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. - Fatania, Ketan; Chau, Kwai Y.; Pirkl, Carolin M.; Menzel, Marion I.; Hall, Peter; Golbabaee, Mohammad (CoRR, 2022)

Uncertainty quantification for sparse Fourier recovery. - Hoppe, Frederik; Krahmer, Felix; Verdun, Claudio Mayrink; Menzel, Marion I.; Rauhut, Holger (CoRR, 2022)

Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. - Golbabaee, Mohammad; Buonincontri, Guido; Pirkl, Carolin M.; Menzel, Marion I.; Menze, Bjoern H.; Davies, Mike E.; Gómez, Pedro A. (Medical Image Anal., 2021)

Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping. - Pirkl, Carolin M.; Cencini, Matteo; Kurzawski, Jan W.; Waldmannstetter, Diana; Li, Hongwei; Sekuboyina, Anjany; Endt, Sebastian; Peretti, Luca; Donatelli, Graziella; Pasquariello, Rosa; Tosetti, Michela; Costagli, Mauro; et al. (2021)

Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting. - Pirkl, Carolin M.; Gómez, Pedro A.; Lipp, Ilona; Buonincontri, Guido; Molina-Romero, Miguel; Sekuboyina, Anjany; Waldmannstetter, Diana; Dannenberg, Jonathan; Endt, Sebastian; Merola, Alberto; Whittaker, Joseph R.; Tomassini, Valentina; et al. (2020)

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. - Golbabaee, Mohammad; Bounincontri, Guido; Pirkl, Carolin M.; Menzel, Marion I.; Menze, Bjoern H.; Davies, Mike E.; Gómez, Pedro A. (CoRR, 2020)

Geometry of Deep Learning for Magnetic Resonance Fingerprinting. - Golbabaee, Mohammad; Chen, Dongdong; Gómez, Pedro A.; Menzel, Marion I.; Davies, Mike E. (2019)

Deep MR Fingerprinting with total-variation and low-rank subspace priors. - Golbabaee, Mohammad; Pirkl, Carolin M.; Menzel, Marion I.; Buonincontri, Guido; Gómez, Pedro A. (CoRR, 2019)

Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases. - Molina-Romero, Miguel; Wiestler, Benedikt; Gómez, Pedro A.; Menzel, Marion I.; Menze, Bjoern H. (2018)

A deep learning approach for Magnetic Resonance Fingerprinting. - Golbabaee, Mohammad; Chen, Dongdong; Gómez, Pedro A.; Menzel, Marion I.; Davies, Mike E. (CoRR, 2018)

Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. - Benjamin, Arnold Julian Vinoj; Gómez, Pedro A.; Golbabaee, Mohammad; Sprenger, Tim; Menzel, Marion I.; Davies, Mike E.; Marshall, Ian (CoRR, 2018)

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images. - Krajsek, Kai; Menzel, Marion I.; Scharr, Hanno (Int. J. Comput. Vis., 2016)

q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. - Golkov, Vladimir; Dosovitskiy, Alexey; Sperl, Jonathan I.; Menzel, Marion I.; Czisch, Michael; Sämann, Philipp G.; Brox, Thomas; Cremers, Daniel (IEEE Trans. Medical Imaging, 2016)

Model-free novelty-based diffusion MRI. - Golkov, Vladimir; Sprenger, Tim; Sperl, Jonathan; Menzel, Marion I.; Czisch, Michael; Sämann, Philipp G.; Cremers, Daniel (2016)

Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints. - Ulas, Cagdas; Gómez, Pedro A.; Krahmer, Felix; Sperl, Jonathan I.; Menzel, Marion I.; Menze, Bjoern H. (2016)

Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting. - Gómez, Pedro A.; Molina-Romero, Miguel; Ulas, Cagdas; Bounincontri, Guido; Sperl, Jonathan I.; Jones, Derek K.; Menzel, Marion I.; Menze, Bjoern H. (2016)

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. - Golkov, Vladimir; Dosovitskiy, Alexey; Sämann, Philipp G.; Sperl, Jonathan I.; Sprenger, Tim; Czisch, Michael; Menzel, Marion I.; Gómez, Pedro A.; Haase, Axel; Brox, Thomas; Cremers, Daniel (2015)

Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compressed Sensing. - Gómez, Pedro A.; Ulas, Cagdas; Sperl, Jonathan I.; Sprenger, Tim; Molina-Romero, Miguel; Menzel, Marion I.; Menze, Bjoern H. (2015)

Riemannian Bayesian estimation of diffusion tensor images. - Krajsek, Kai; Menzel, Marion I.; Scharr, Hanno (2009)

Riemannian Anisotropic Diffusion for Tensor Valued Images. - Krajsek, Kai; Menzel, Marion I.; Zwanger, Michael; Scharr, Hanno (2008)