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Carolin M. Pirkl
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2020 – today
- 2024
- [c7]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 - [c6]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 - [i8]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) - [i7]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) - [i6]Perla Mayo, Carolin M. Pirkl, Alin Achim, Bjoern H. Menze, Mohammad Golbabaee:
Improved Patch Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting. CoRR abs/2410.23318 (2024) - 2023
- [c5]Ketan Fatania
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. ISBI 2023: 1-4 - 2022
- [j3]Suprosanna Shit
SRflow: Deep learning based super-resolution of 4D-flow MRI data. Frontiers Artif. Intell. 5 (2022) - [j2]Carolin M. Pirkl
Learning residual motion correction for fast and robust 3D multiparametric MRI. Medical Image Anal. 77: 102387 (2022) - [c4]Ketan Fatania
A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers. ISBI 2022: 1-4 - [i5]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) - [i4]Sandeep Kaushik, Mikael Bylund, Cristina Cozzini, Dattesh Shanbhag, Steven F. Petit, Jonathan J. Wyatt, Marion I. Menzel
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network. CoRR abs/2203.16288 (2022) - [i3]Ketan Fatania, Kwai Y. Chau, Carolin M. Pirkl, Marion I. Menzel
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. CoRR abs/2211.12786 (2022) - 2021
- [j1]Mohammad Golbabaee, Guido Buonincontri
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. Medical Image Anal. 69: 101945 (2021) - [c3]Hongwei Li, Sunita Gopal, Anjany Sekuboyina, Jianguo Zhang
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. UNSURE/PIPPI@MICCAI 2021: 44-53 - [c2]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
- [c1]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 - [i2]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
- [i1]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)
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