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Benkert

Showing results (331-340 of 621) with videos related to

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Japanese Journal of Radiology|September 29, 2018
Does integrated shimming improve lesion detection in whole-body diffusion-weighted examinations of patients with breast cancer?Michiro Sasaki, Mitsuhiro Tozaki, Katsuya Maruyama, et al.
Quantitative Imaging in Medicine and Surgery|August 3, 2022
Three-dimensional ultrashort echo time magnetic resonance imaging in assessment of idiopathic pulmonary fibrosis, in comparison with high-resolution computed tomographyXiaoyan Yang, Min Liu, Jianghui Duan, et al.
Diagnostic and Interventional Imaging|February 14, 2023
Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstructionSaif Afat, Judith Herrmann, Haidara Almansour, et al.
European Radiology|July 3, 2024
Image quality of whole-body diffusion MR images comparing deep-learning accelerated and conventional sequencesAndrea Ponsiglione, Will McGuire, Giuseppe Petralia, et al.
Insights Into Imaging|November 24, 2021
Detection of lung lesions in breath-hold VIBE and free-breathing Spiral VIBE MRI compared to CTSusann-Cathrin Olthof, Christian Reinert, Konstantin Nikolaou, et al.
Public Health Reports (Washington, D.C. : 1974)|January 27, 2017
Racial/Ethnic Disparities in Rates of Traumatic Injury in Arizona, 2011-2012Vatsal Chikani, Maureen Brophy, Anne Vossbrink, et al.
Investigative Radiology|April 12, 2017
Comprehensive Dynamic Contrast-Enhanced 3D Magnetic Resonance Imaging of the Breast With Fat/Water Separation and High Spatiotemporal Resolution Using Radial Sampling, Compressed Sensing, and Parallel ImagingThomas Benkert, Kai Tobias Block, Samantha Heller, et al.
Diagnostics (Basel, Switzerland)|August 29, 2024
Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 TSusann-Cathrin Olthof, Elisabeth Weiland, Thomas Benkert, et al.
Journal of Computer Assisted Tomography|May 9, 2024
Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning-Based Image Reconstruction: Impact on Image Quality and Lesion DetectionLuke A Ginocchio, Sonam Jaglan, Angela Tong, et al.
Magnetic Resonance in Medicine|September 12, 2022
Reduction of the cardiac pulsation artifact and improvement of lesion conspicuity in flow-compensated diffusion images in the liver-A quantitative evaluation of postprocessing algorithmsTobit Führes, Marc Saake, Jennifer Lorenz, et al.
Pageof 63

Showing results (331-340 of 621) with videos related to

Sort By:
Pageof 63
Japanese Journal of Radiology|September 29, 2018
Does integrated shimming improve lesion detection in whole-body diffusion-weighted examinations of patients with breast cancer?Michiro Sasaki, Mitsuhiro Tozaki, Katsuya Maruyama, et al.
Quantitative Imaging in Medicine and Surgery|August 3, 2022
Three-dimensional ultrashort echo time magnetic resonance imaging in assessment of idiopathic pulmonary fibrosis, in comparison with high-resolution computed tomographyXiaoyan Yang, Min Liu, Jianghui Duan, et al.
Diagnostic and Interventional Imaging|February 14, 2023
Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstructionSaif Afat, Judith Herrmann, Haidara Almansour, et al.
European Radiology|July 3, 2024
Image quality of whole-body diffusion MR images comparing deep-learning accelerated and conventional sequencesAndrea Ponsiglione, Will McGuire, Giuseppe Petralia, et al.
Insights Into Imaging|November 24, 2021
Detection of lung lesions in breath-hold VIBE and free-breathing Spiral VIBE MRI compared to CTSusann-Cathrin Olthof, Christian Reinert, Konstantin Nikolaou, et al.
Public Health Reports (Washington, D.C. : 1974)|January 27, 2017
Racial/Ethnic Disparities in Rates of Traumatic Injury in Arizona, 2011-2012Vatsal Chikani, Maureen Brophy, Anne Vossbrink, et al.
Investigative Radiology|April 12, 2017
Comprehensive Dynamic Contrast-Enhanced 3D Magnetic Resonance Imaging of the Breast With Fat/Water Separation and High Spatiotemporal Resolution Using Radial Sampling, Compressed Sensing, and Parallel ImagingThomas Benkert, Kai Tobias Block, Samantha Heller, et al.
Diagnostics (Basel, Switzerland)|August 29, 2024
Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 TSusann-Cathrin Olthof, Elisabeth Weiland, Thomas Benkert, et al.
Journal of Computer Assisted Tomography|May 9, 2024
Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning-Based Image Reconstruction: Impact on Image Quality and Lesion DetectionLuke A Ginocchio, Sonam Jaglan, Angela Tong, et al.
Magnetic Resonance in Medicine|September 12, 2022
Reduction of the cardiac pulsation artifact and improvement of lesion conspicuity in flow-compensated diffusion images in the liver-A quantitative evaluation of postprocessing algorithmsTobit Führes, Marc Saake, Jennifer Lorenz, et al.
Pageof 63