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ORCIDMarion I. Menzel
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2020 – today
- 2024
[c17]Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut:
Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images. ECCV (78) 2024: 432-450- [c16]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. ISBI 2024: 1-4 - [c15]Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee:
StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations. MLMI@MICCAI (2) 2024: 128-137 - [i13]Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut:
With or Without Replacement? Improving Confidence in Fourier Imaging. CoRR abs/2407.13575 (2024) - [i12]Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
High-Dimensional Confidence Regions in Sparse MRI. CoRR abs/2407.18964 (2024) - [i11]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 abs/2407.19866 (2024) - [i10]Perla Mayo, Matteo Cencini, Carolin M. Pirkl, Marion I. Menzel, Michela Tosetti, Bjoern H. Menze, Mohammad Golbabaee:
StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations. CoRR abs/2408.02367 (2024) - 2023
- [c14]Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
High-Dimensional Confidence Regions in Sparse MRI. ICASSP 2023: 1-5 - [c13]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: 1-4 - 2022
- [j5]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: 99-122 (2022) - [j4]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: 102387 (2022) - [c12]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: 1-4 - [i9]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 abs/2201.06505 (2022) - [i8]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 abs/2202.05269 (2022) - [i7]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 abs/2203.16288 (2022) - [i6]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 abs/2211.12786 (2022) - [i5]Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
Uncertainty quantification for sparse Fourier recovery. CoRR abs/2212.14864 (2022) - 2021
- [j3]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: 101945 (2021) - [c11]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: 618-632 - 2020
- [c10]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: 638-654 - [i4]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 abs/2001.08746 (2020)
2010 – 2019
- 2019
- [c9]Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies:
Geometry of Deep Learning for Magnetic Resonance Fingerprinting. ICASSP 2019: 7825-7829 - [i3]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 abs/1902.10205 (2019) - 2018
- [c8]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: 98-106 - [i2]Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies:
A deep learning approach for Magnetic Resonance Fingerprinting. CoRR abs/1809.01749 (2018) - [i1]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 abs/1809.02506 (2018) - 2016
- [j2]Kai Krajsek, Marion I. Menzel, Hanno Scharr:
A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images. Int. J. Comput. Vis. 120(3): 272-299 (2016) - [j1]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): 1344-1351 (2016) - [c7]Vladimir Golkov, Tim Sprenger, Jonathan Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Daniel Cremers:
Model-free novelty-based diffusion MRI. ISBI 2016: 1233-1236 - [c6]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: 37-47 - [c5]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: 579-586 - 2015
- [c4]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: 37-44 - [c3]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: 112-119
2000 – 2009
- 2009
- [c2]Kai Krajsek, Marion I. Menzel, Hanno Scharr:
Riemannian Bayesian estimation of diffusion tensor images. ICCV 2009: 2327-2334 - 2008
- [c1]Kai Krajsek, Marion I. Menzel, Michael Zwanger, Hanno Scharr:
Riemannian Anisotropic Diffusion for Tensor Valued Images. ECCV (4) 2008: 326-339
Coauthor Index
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