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Published in Magnetic Resonance in Medicine, 2017
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Recommended citation: M. Schloegl, M. Holler, A. Schwarzl, K. Bredies, R. Stollberger, "Infimal convolution of total generalized variation functionals for dynamic MRI." Magnetic Resonance in Medicine, 2017.
Published in Scientific Reports, 2018
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Recommended citation: B. Neumayer, M. Schloegl, C. Payer, T. Widek, S. Tschauner, T. Ehammer, R. Stollberger, M. Urschler, "Reducing acquisition time for MRI-based forensic age estimation." Scientific Reports, 2018.
Published in In the proceedings of Proceedings of the International Society of Magnetic Resonance in Medicine, 2019
Recommended citation: Kerstin Hammernik, Matthias Schloegl, Rudolf Stollberger, Thomas Pock, "Dynamic Multicoil Reconstruction using Variational Networks." In the proceedings of Proceedings of the International Society of Magnetic Resonance in Medicine, 2019. https://archive.ismrm.org/2019/4656.html
Published in Magnetic Resonance in Medicine, 2019
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Recommended citation: O. Maier, J. Schoormans, M. Schloegl, G.J. Strijkers, A. Lesch, T. Benkert, T. Block, B.F. Coolen, K. Bredies, R. Stollberger, "Rapid T
Published in Magnetic Resonance in Medicine, 2019
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Recommended citation: A. Lesch, M. Schl{\"{o}}egl, M. Holler, K. Bredies, R. Stollberger, "Ultrafast 3D Bloch–Siegert B1+-mapping using variational modeling." Magnetic Resonance in Medicine, 2019.
Published in NeuroImage, 2020
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Recommended citation: S.M. Spann, X. Shao, D.J. Wang, C.S. Aigner, M. Schloegl, K. Bredies, R. Stollberger, "Robust single-shot acquisition of high resolution whole brain ASL images by combining time-dependent 2D CAPIRINHA sampling with spatio-temporal TGV reconstruction." NeuroImage, 2020.
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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