Marion I. Menzel

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 27

Top Topics

Diffusion Tensor

Magnetic Resonance

Top Venues

Medical Image Anal.

Publications

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut
With or Without Replacement? Improving Confidence in Fourier Imaging. CoRR (2024)
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
High-Dimensional Confidence Regions in Sparse MRI. CoRR (2024)
Perla Mayo, Matteo Cencini, Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Michela Tosetti, Mohammad Golbabaee
Deep Image Priors for Magnetic Resonance Fingerprinting with pretrained Bloch-consistent denoising autoencoders. CoRR (2024)
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
High-Dimensional Confidence Regions in Sparse MRI. ICASSP (2023)
Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Mohammad Golbabaee
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. ISBI (2023)
Carolin M. Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Mauro Costagli, Guido Buonincontri, Michela Tosetti, Marion I. Menzel, Bjoern H. Menze
Learning residual motion correction for fast and robust 3D multiparametric MRI. Medical Image Anal. 77 (2022)
Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. CoRR (2022)
Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82 (2022)
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
Uncertainty quantification for sparse Fourier recovery. CoRR (2022)
Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers. ISBI (2022)
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, Tufve Nyholm, Florian Wiesinger, Bjoern H. Menze
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network. CoRR (2022)
Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers. CoRR (2022)
Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR (2022)
Mohammad Golbabaee, Guido Buonincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. Medical Image Anal. 69 (2021)
Carolin M. Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Michela Tosetti, Mauro Costagli, Guido Buonincontri, Marion I. Menzel, Bjoern H. Menze
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping. MIDL (2021)
Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. CoRR (2020)
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, Michela Tosetti, Derek K. Jones, Bjoern H. Menze, Marion I. Menzel
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting. MIDL (2020)
Mohammad Golbabaee, Carolin M. Pirkl, Marion I. Menzel, Guido Buonincontri, Pedro A. Gómez
Deep MR Fingerprinting with total-variation and low-rank subspace priors. CoRR (2019)
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
Geometry of Deep Learning for Magnetic Resonance Fingerprinting. ICASSP (2019)
Miguel Molina-Romero, Benedikt Wiestler, Pedro A. Gómez, Marion I. Menzel, Bjoern H. Menze
Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases. MICCAI (3) (2018)
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
A deep learning approach for Magnetic Resonance Fingerprinting. CoRR (2018)
Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee, Tim Sprenger, Marion I. Menzel, Mike E. Davies, Ian Marshall
Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. CoRR (2018)
Vladimir Golkov, Alexey Dosovitskiy, Jonathan I. Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Thomas Brox, Daniel Cremers
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. IEEE Trans. Medical Imaging 35 (5) (2016)
Vladimir Golkov, Tim Sprenger, Jonathan Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Daniel Cremers
Model-free novelty-based diffusion MRI. ISBI (2016)
Cagdas Ulas, Pedro A. Gómez, Felix Krahmer, Jonathan I. Sperl, Marion I. Menzel, Bjoern H. Menze
Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints. RAMBO+HVSMR@MICCAI (2016)
Kai Krajsek, Marion I. Menzel, Hanno Scharr
A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images. Int. J. Comput. Vis. 120 (3) (2016)
Pedro A. Gómez, Miguel Molina-Romero, Cagdas Ulas, Guido Bounincontri, Jonathan I. Sperl, Derek K. Jones, Marion I. Menzel, Bjoern H. Menze
Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting. MICCAI (3) (2016)
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
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. MICCAI (1) (2015)
Pedro A. Gómez, Cagdas Ulas, Jonathan I. Sperl, Tim Sprenger, Miguel Molina-Romero, Marion I. Menzel, Bjoern H. Menze
Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compressed Sensing. Patch-MI@MICCAI (2015)
Kai Krajsek, Marion I. Menzel, Hanno Scharr
Riemannian Bayesian estimation of diffusion tensor images. ICCV (2009)
Kai Krajsek, Marion I. Menzel, Michael Zwanger, Hanno Scharr
Riemannian Anisotropic Diffusion for Tensor Valued Images. ECCV (4) (2008)