Carolin M. Pirkl
Orcid: 0000-0002-5759-5290
According to our database1,
Carolin M. Pirkl
authored at least 12 papers
between 2019 and 2023.
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Bibliography
2023
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Medical Image Anal., 2022
Frontiers Artif. Intell., 2022
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI.
CoRR, 2022
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network.
CoRR, 2022
A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks.
Medical Image Anal., 2021
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
2020
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders.
CoRR, 2020
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019