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Carolin M. Pirkl
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 14
Top Topics
Mri Data
Mid Sagittal Plane
Sparsely Sampled
Deep Learning
Top Venues
CoRR
ISBI
Medical Image Anal.
MIDL
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Publications
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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
(2024)
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)
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 (2022)
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
(2022)
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)
Suprosanna Shit
,
Judith Zimmermann
,
Ivan Ezhov
,
Johannes C. Paetzold
,
Augusto Fava-Sanches
,
Carolin M. Pirkl
,
Bjoern H. Menze
SRflow: Deep learning based super-resolution of 4D-flow MRI data.
Frontiers Artif. Intell.
5 (2022)
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
(2022)
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
(2022)
Hongwei Li
,
Sunita Gopal
,
Anjany Sekuboyina
,
Jianguo Zhang
,
Chen Niu
,
Carolin M. Pirkl
,
Jan Kirschke
,
Benedikt Wiestler
,
Bjoern H. Menze
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty.
UNSURE/PIPPI@MICCAI
(2021)
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 (2021)
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)
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
(2020)
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)
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
(2019)