Marion I. Menzel

37 papers A* 1Misc 2Journal 19Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors.
CoRR
Mohammad Golbabaee, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern Menze
2025 — conf
INR Meets Multi-contrast MRI Reconstruction.
GRAIL/RIME@MICCAI
Natascha Niessen, Carolin M. Pirkl, Ana Beatriz Solana, Hannah Eichhorn, Veronika Spieker, Wenqi Huang, Tim Sprenger, Marion I. Menzel, Julia A. Schnabel
2024 — conf
Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders.
ISBI
Perla Mayo, Matteo Cencini, Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Michela Tosetti, Mohammad Golbabaee
2024 J jnl
Deep Image Priors for Magnetic Resonance Fingerprinting with pretrained Bloch-consistent denoising autoencoders.
CoRR
Perla Mayo, Matteo Cencini, Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Michela Tosetti, Mohammad Golbabaee
2024 J jnl
High-Dimensional Confidence Regions in Sparse MRI.
CoRR
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2024 — conf
Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images.
ECCV (78)
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut
2024 — conf
StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations.
MLMI@MICCAI (2)
Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee
2024 J jnl
StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations.
CoRR
Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee
2024 J jnl
With or Without Replacement? Improving Confidence in Fourier Imaging.
CoRR
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut
2023 Misc conf
High-Dimensional Confidence Regions in Sparse MRI.
ICASSP
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2023 — conf
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI.
ISBI
Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Mohammad Golbabaee
2022 — conf
A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers.
ISBI
Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
2022 J jnl
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers.
CoRR
Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
2022 J jnl
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions.
CoRR
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
2022 J jnl
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Inf. Fusion
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
2022 J jnl
Learning residual motion correction for fast and robust 3D multiparametric MRI.
Medical Image Anal.
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
2022 J jnl
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI.
CoRR
Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel, Peter Hall, Mohammad Golbabaee
2022 J jnl
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network.
CoRR
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
2022 J jnl
Uncertainty quantification for sparse Fourier recovery.
CoRR
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2021 J jnl
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks.
Medical Image Anal.
Mohammad Golbabaee, Guido Buonincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
2021 — conf
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping.
MIDL
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
2020 J jnl
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders.
CoRR
Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
2020 — conf
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting.
MIDL
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
2019 J jnl
Deep MR Fingerprinting with total-variation and low-rank subspace priors.
CoRR
Mohammad Golbabaee, Carolin M. Pirkl, Marion I. Menzel, Guido Buonincontri, Pedro A. Gómez
2019 Misc conf
Geometry of Deep Learning for Magnetic Resonance Fingerprinting.
ICASSP
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
2018 J jnl
A deep learning approach for Magnetic Resonance Fingerprinting.
CoRR
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
2018 J jnl
Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF.
CoRR
Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee, Tim Sprenger, Marion I. Menzel, Mike E. Davies, Ian Marshall
2018 — conf
Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases.
MICCAI (3)
Miguel Molina-Romero, Benedikt Wiestler, Pedro A. Gómez, Marion I. Menzel, Bjoern H. Menze
2016 J jnl
A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images.
Int. J. Comput. Vis.
Kai Krajsek, Marion I. Menzel, Hanno Scharr
2016 — conf
Model-free novelty-based diffusion MRI.
ISBI
Vladimir Golkov, Tim Sprenger, Jonathan Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Daniel Cremers
2016 — conf
Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints.
RAMBO+HVSMR@MICCAI
Cagdas Ulas, Pedro A. Gómez, Felix Krahmer, Jonathan I. Sperl, Marion I. Menzel, Bjoern H. Menze
2016 — conf
Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting.
MICCAI (3)
Pedro A. Gómez, Miguel Molina-Romero, Cagdas Ulas, Guido Bounincontri, Jonathan I. Sperl, Derek K. Jones, Marion I. Menzel, Bjoern H. Menze
2016 J jnl
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.
IEEE Trans. Medical Imaging
Vladimir Golkov, Alexey Dosovitskiy, Jonathan I. Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Thomas Brox, Daniel Cremers
2015 — conf
Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compressed Sensing.
Patch-MI@MICCAI
Pedro A. Gómez, Cagdas Ulas, Jonathan I. Sperl, Tim Sprenger, Miguel Molina-Romero, Marion I. Menzel, Bjoern H. Menze
2015 — conf
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.
MICCAI (1)
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
2009 A* conf
Riemannian Bayesian estimation of diffusion tensor images.
ICCV
Kai Krajsek, Marion I. Menzel, Hanno Scharr
2008 — conf
Riemannian Anisotropic Diffusion for Tensor Valued Images.
ECCV (4)
Kai Krajsek, Marion I. Menzel, Michael Zwanger, Hanno Scharr