Carolin M. Pirkl

According to our database, Carolin M. Pirkl authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Improved Patch Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting.

Perla Mayo, Carolin M. Pirkl, Alin Achim, Bjoern H. Menze, Mohammad Golbabaee

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

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

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

SRflow: Deep learning based super-resolution of 4D-flow MRI data.

Suprosanna Shit, Judith Zimmermann, Ivan Ezhov, Johannes C. Paetzold, Augusto Fava-Sanches, Carolin M. Pirkl, Bjoern H. Menze

Frontiers Artif. Intell., 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

Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty.

Hongwei Li, Sunita Gopal, Anjany Sekuboyina, Jianguo Zhang, Chen Niu, Carolin M. Pirkl, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze

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.

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