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Tobias J Heye

Showing results (1-10 of 12) with videos related to

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Radiology|December 7, 2013
ResponseTobias J Heye, Daniel T Boll
Investigative Radiology|September 22, 2012
Iodine quantification using dual-energy multidetector computed tomography imaging: phantom study assessing the impact of iterative reconstruction schemes and patient habitus on accuracySebastian Feuerlein, Tobias J Heye, Mustafa R Bashir, et al.
AJR. American Journal of Roentgenology|January 16, 2020
Gamification of Electronic Learning in Radiology Education to Improve Diagnostic Confidence and Reduce Error RatesDavid J Winkel, Philipp Brantner, Jonas Lutz, et al.
European Radiology|April 25, 2020
High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approachDavid J Winkel, Hanns-Christian Breit, Tobias K Block, et al.
Radiology|January 19, 2016
Regional Mapping of Aortic Wall Stress by Using Deformable, Motion-coherent Modeling based on Electrocardiography-gated Multidetector CT Angiography: Feasibility StudyAchille Mileto, Tobias J Heye, Ryan A Makar, et al.
Journal of Computer Assisted Tomography|May 16, 2013
Bone marrow enhancement during time-resolved magnetic resonance angiography of the pelvisBrian C Allen, Mustafa R Bashir, Brian M Dale, et al.
Abdominal Radiology (New York)|February 2, 2023
Estimation of differential renal function on routine abdominal imaging employing compressed-sensed contrast-enhanced MR: a feasibility study referenced against dynamic renal scintigraphy in patients with deteriorating renal retention parametersVictor Schulze-Zachau, David J Winkel, Felix Kaul, et al.
European Journal of Radiology|March 16, 2020
Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentationDavid J Winkel, Thomas J Weikert, Hanns-Christian Breit, et al.
Radiology|January 2, 2019
Compressed Sensing Radial Sampling MRI of Prostate Perfusion: Utility for Detection of Prostate CancerDavid J Winkel, Tobias J Heye, Matthias R Benz, et al.
Radiology|September 25, 2019
Gadoxetate Disodium versus Gadoterate Meglumine: Quantitative Respiratory and Hemodynamic Metrics by Using Compressed-Sensing MRICarl G Glessgen, Manuela Moor, Bram Stieltjes, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Radiology|December 7, 2013
ResponseTobias J Heye, Daniel T Boll
Investigative Radiology|September 22, 2012
Iodine quantification using dual-energy multidetector computed tomography imaging: phantom study assessing the impact of iterative reconstruction schemes and patient habitus on accuracySebastian Feuerlein, Tobias J Heye, Mustafa R Bashir, et al.
AJR. American Journal of Roentgenology|January 16, 2020
Gamification of Electronic Learning in Radiology Education to Improve Diagnostic Confidence and Reduce Error RatesDavid J Winkel, Philipp Brantner, Jonas Lutz, et al.
European Radiology|April 25, 2020
High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approachDavid J Winkel, Hanns-Christian Breit, Tobias K Block, et al.
Radiology|January 19, 2016
Regional Mapping of Aortic Wall Stress by Using Deformable, Motion-coherent Modeling based on Electrocardiography-gated Multidetector CT Angiography: Feasibility StudyAchille Mileto, Tobias J Heye, Ryan A Makar, et al.
Journal of Computer Assisted Tomography|May 16, 2013
Bone marrow enhancement during time-resolved magnetic resonance angiography of the pelvisBrian C Allen, Mustafa R Bashir, Brian M Dale, et al.
Abdominal Radiology (New York)|February 2, 2023
Estimation of differential renal function on routine abdominal imaging employing compressed-sensed contrast-enhanced MR: a feasibility study referenced against dynamic renal scintigraphy in patients with deteriorating renal retention parametersVictor Schulze-Zachau, David J Winkel, Felix Kaul, et al.
European Journal of Radiology|March 16, 2020
Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentationDavid J Winkel, Thomas J Weikert, Hanns-Christian Breit, et al.
Radiology|January 2, 2019
Compressed Sensing Radial Sampling MRI of Prostate Perfusion: Utility for Detection of Prostate CancerDavid J Winkel, Tobias J Heye, Matthias R Benz, et al.
Radiology|September 25, 2019
Gadoxetate Disodium versus Gadoterate Meglumine: Quantitative Respiratory and Hemodynamic Metrics by Using Compressed-Sensing MRICarl G Glessgen, Manuela Moor, Bram Stieltjes, et al.
Pageof 2