Riemannian Anisotropic Diffusion for Tensor Valued Images. - Kai Krajsek; Marion I. Menzel; Michael Zwanger; Hanno Scharr (ECCV (4), 2008)

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

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. - Vladimir Golkov; Alexey Dosovitskiy; Philipp G. Sämann; Jonathan I. Sperl; Tim Sprenger; Michael Czisch; Marion I. Menzel; Pedro A. Gómez; Axel Haase; Thomas Brox; Daniel Cremers (MICCAI (1), 2015)

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

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

Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting. - Pedro A. Gómez; Miguel Molina-Romero; Cagdas Ulas; Guido Bounincontri; Jonathan I. Sperl; Derek K. Jones; Marion I. Menzel; Bjoern H. Menze (MICCAI (3), 2016)

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

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

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

Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases. - Miguel Molina-Romero; Benedikt Wiestler; Pedro A. Gómez; Marion I. Menzel; Bjoern H. Menze (MICCAI (3), 2018)

A deep learning approach for Magnetic Resonance Fingerprinting. - Mohammad Golbabaee; Dongdong Chen 004; Pedro A. Gómez; Marion I. Menzel; Mike E. Davies 001 (CoRR, 2018)

Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. - Arnold Julian Vinoj Benjamin; Pedro A. Gómez; Mohammad Golbabaee; Tim Sprenger; Marion I. Menzel; Mike E. Davies 001; Ian Marshall (CoRR, 2018)

Geometry of Deep Learning for Magnetic Resonance Fingerprinting. - Mohammad Golbabaee; Dongdong Chen 004; Pedro A. Gómez; Marion I. Menzel; Mike E. Davies 001 (ICASSP, 2019)

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

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

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. - Mohammad Golbabaee; Guido Bounincontri; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Mike E. Davies 001; Pedro A. Gómez (CoRR, 2020)

Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Michela Tosetti; Mauro Costagli; et al. (MIDL, 2021)

Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. - Mohammad Golbabaee; Guido Buonincontri; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Mike E. Davies 001; Pedro A. Gómez (Medical Image Anal., 2021)

A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers. - Ketan Fatania; Carolin M. Pirkl; Marion I. Menzel; Peter Hall 001; Mohammad Golbabaee (ISBI, 2022)

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

Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. - Ketan Fatania; Kwai Y. Chau; Carolin M. Pirkl; Marion I. Menzel; Peter Hall 001; Mohammad Golbabaee (CoRR, 2022)

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

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. - Yang Nan 002; Javier Del Ser; Simon Walsh; Carola Schönlieb; Michael Roberts; Ian Selby; Kit Howard; John Owen; Jon Neville; Julien Guiot; Benoit Ernst; Ana Pastor; et al. (Inf. Fusion, 2022)

Learning residual motion correction for fast and robust 3D multiparametric MRI. - Carolin M. Pirkl; Matteo Cencini; Jan W. Kurzawski; Diana Waldmannstetter; Hongwei Li 004; Anjany Sekuboyina; Sebastian Endt; Luca Peretti; Graziella Donatelli; Rosa Pasquariello; Mauro Costagli; Guido Buonincontri; et al. (Medical Image Anal., 2022)

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

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

Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images. - Frederik Hoppe; Claudio Mayrink Verdun; Hannah Laus; Sebastian Endt; Marion I. Menzel; Felix Krahmer; Holger Rauhut (ECCV (78), 2024)

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

StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations. - Perla Mayo; Matteo Cencini; Carolin M. Pirkl; Marion I. Menzel; Michela Tosetti; Bjoern H. Menze; Mohammad Golbabaee (MLMI@MICCAI (2), 2024)

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