Marion I. Menzel

According to our database, Marion I. Menzel authored at least 30 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

With or Without Replacement? Improving Confidence in Fourier Imaging.

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut

CoRR, 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

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

High-Dimensional Confidence Regions in Sparse MRI.

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Learning residual motion correction for fast and robust 3D multiparametric MRI.

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

Medical Image Anal., 2022

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.

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

Inf. Fusion, 2022

Uncertainty quantification for sparse Fourier recovery.

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut

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, Mohammad Golbabaee

CoRR, 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, Tufve Nyholm, Florian Wiesinger, Bjoern H. Menze

CoRR, 2022

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, Mohammad Golbabaee

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

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, Pedro A. Gómez

Medical Image Anal., 2021

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, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Michela Tosetti, Mauro Costagli, Guido Buonincontri, Marion I. Menzel, Bjoern H. Menze

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

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, Pedro A. Gómez

CoRR, 2020

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, Michela Tosetti, Derek K. Jones, Bjoern H. Menze, Marion I. Menzel

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

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

Geometry of Deep Learning for Magnetic Resonance Fingerprinting.

Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2019

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, Ian Marshall

CoRR, 2018

A deep learning approach for Magnetic Resonance Fingerprinting.

Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies

CoRR, 2018

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images.

Kai Krajsek, Marion I. Menzel, Hanno Scharr

Int. J. Comput. Vis., 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

Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Model-free novelty-based diffusion MRI.

Vladimir Golkov, Tim Sprenger, Jonathan Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Daniel Cremers

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2009

Riemannian Bayesian estimation of diffusion tensor images.

Kai Krajsek, Marion I. Menzel, Hanno Scharr

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Riemannian Anisotropic Diffusion for Tensor Valued Images.

Kai Krajsek, Marion I. Menzel, Michael Zwanger, Hanno Scharr

Proceedings of the Computer Vision, 2008