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Jens Wetzl
List of publications:
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Lehrstuhl für Informatik 5 (Mustererkennung)
Publications
(27)
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Journal article
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Book chapter / Article in edited volumes
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Free-Breathing, Self-Navigated and Dynamic 3-D Multi-Contrast Cardiac CINE Imaging Using Cartesian Sampling and Compressed Sensing (2019)
Hoppe E, Wetzl J, Forman C, Koerzdoerfer G, Schneider M, Speier P, Schmidt M, Maier A
Conference contribution, Conference Contribution
Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography (2018)
Stimpel B, Wetzl J, Forman C, Schmidt M, Maier A, Unberath M
Journal article
Deep Learning for Magnetic Resonance Fingerprinting: Accelerating the Reconstruction of Quantitative Relaxation Maps (2018)
Hoppe E, Körzdorfer G, Nitka M, Würfl T, Wetzl J, Lugauer F, Schneider M, et al.
Conference contribution, Original article
Single-breath-hold abdominal T1 mapping using 3D Cartesian Look-Locker with spatiotemporal sparsity constraints (2018)
Lugauer F, Wetzl J, Forman C, Schneider M, Kiefer B, Hornegger J, Nickel D, Maier A
Journal article
Feasibility Study: 2-D Self-Navigation using Compressed Sensing Reconstruction for Respiratory Gating in Free-breathing 3-D CINE Imaging (2017)
Prochaska I, Wetzl J, Forman C, Nagel AM, Maier A
Conference contribution
Free-Breathing Self-Navigated Isotropic 3-D CINE Imaging of the Whole Heart using Adaptive Triggering and Retrospective Gating (2017)
Wetzl J, Lugauer F, Kroeker R, Schmidt M, Maier A, Forman C
Conference contribution
Single-breath-hold 3-D CINE imaging of the left ventricle using Cartesian sampling (2017)
Wetzl J, Schmidt M, Pontana F, Longère B, Lugauer F, Maier A, Hornegger J, Forman C
Journal article
Single Breath-Hold Abdominal T1 Mapping Using 3-D Cartesian Sampling and Spatiotemporally Constrained Reconstruction (2017)
Lugauer F, Wetzl J, Forman C, Schneider M, Kiefer B, Nickel D, Maier A
Conference contribution
Automated Coronary Artery Ostia Detection in Magnetic Resonance Angiography (2017)
Stimpel B, Forman C, Wetzl J, Schmidt M, Maier A, Unberath M
Conference contribution
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series (2017)
Hoppe E, Körzdorfer G, Würfl T, Wetzl J, Lugauer F, Pfeuffer J, Maier A
Conference contribution, Original article
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