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Thomas Kuestner

Showing results (1-10 of 18) with videos related to

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Magnetic Resonance in Medicine|August 30, 2025
Liver fat quantification at 0.55 T enabled by locally low-rank enforced deep learning reconstructionMajd Helo, Dominik Nickel, Stephan Kannengiesser, et al.
Computer Methods and Programs in Biomedicine|August 31, 2022
Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effortMarcel Frueh, Thomas Kuestner, Marcel Nachbar, et al.
Medical Image Analysis|November 4, 2023
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRIJiazhen Pan, Manal Hamdi, Wenqi Huang, et al.
Magnetic Resonance in Medicine|October 3, 2021
Generalized low-rank nonrigid motion-corrected reconstruction for MR fingerprintingGastao Cruz, Haikun Qi, Olivier Jaubert, et al.
Investigative Radiology|June 12, 2018
Acceleration of Magnetic Resonance Cholangiopancreatography Using Compressed Sensing at 1.5 and 3 T: A Clinical Feasibility StudyJana Taron, Jakob Weiss, Mike Notohamiprodjo, et al.
Magma (New York, N.Y.)|June 28, 2024
ESMRMB 2024 focus topic: MR beyond trends-fact-checking MRChristian Langkammer, Lena Václavů, Thomas Kuestner, et al.
Magnetic Resonance in Medicine|June 7, 2021
End-to-end deep learning nonrigid motion-corrected reconstruction for highly accelerated free-breathing coronary MRAHaikun Qi, Reza Hajhosseiny, Gastao Cruz, et al.
IEEE Transactions on Medical Imaging|October 6, 2020
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep LearningHaikun Qi, Niccolo Fuin, Gastao Cruz, et al.
European Radiology|November 15, 2017
Scan time reduction in diffusion-weighted imaging of the pancreas using a simultaneous multislice technique with different acceleration factors: How fast can we go?Jana Taron, Petros Martirosian, Thomas Kuestner, et al.
Diagnostics (Basel, Switzerland)|August 27, 2021
Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal ImagingJudith Herrmann, Gregor Koerzdoerfer, Dominik Nickel, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Magnetic Resonance in Medicine|August 30, 2025
Liver fat quantification at 0.55 T enabled by locally low-rank enforced deep learning reconstructionMajd Helo, Dominik Nickel, Stephan Kannengiesser, et al.
Computer Methods and Programs in Biomedicine|August 31, 2022
Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effortMarcel Frueh, Thomas Kuestner, Marcel Nachbar, et al.
Medical Image Analysis|November 4, 2023
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRIJiazhen Pan, Manal Hamdi, Wenqi Huang, et al.
Magnetic Resonance in Medicine|October 3, 2021
Generalized low-rank nonrigid motion-corrected reconstruction for MR fingerprintingGastao Cruz, Haikun Qi, Olivier Jaubert, et al.
Investigative Radiology|June 12, 2018
Acceleration of Magnetic Resonance Cholangiopancreatography Using Compressed Sensing at 1.5 and 3 T: A Clinical Feasibility StudyJana Taron, Jakob Weiss, Mike Notohamiprodjo, et al.
Magma (New York, N.Y.)|June 28, 2024
ESMRMB 2024 focus topic: MR beyond trends-fact-checking MRChristian Langkammer, Lena Václavů, Thomas Kuestner, et al.
Magnetic Resonance in Medicine|June 7, 2021
End-to-end deep learning nonrigid motion-corrected reconstruction for highly accelerated free-breathing coronary MRAHaikun Qi, Reza Hajhosseiny, Gastao Cruz, et al.
IEEE Transactions on Medical Imaging|October 6, 2020
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep LearningHaikun Qi, Niccolo Fuin, Gastao Cruz, et al.
European Radiology|November 15, 2017
Scan time reduction in diffusion-weighted imaging of the pancreas using a simultaneous multislice technique with different acceleration factors: How fast can we go?Jana Taron, Petros Martirosian, Thomas Kuestner, et al.
Diagnostics (Basel, Switzerland)|August 27, 2021
Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal ImagingJudith Herrmann, Gregor Koerzdoerfer, Dominik Nickel, et al.
Pageof 2