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Diagnostics (Basel, Switzerland)|February 10, 2016
Improving Accuracy for Image Fusion in Abdominal UltrasonographyCaroline Ewertsen, Kristoffer L Hansen, Birthe M Henriksen, et al.IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|February 14, 2009
In vivo validation of a blood vector velocity estimator with MR angiographyKristoffer L Hansen, Jesper Udesen, Carsten Thomsen, et al.Journal of Clinical Monitoring and Computing|November 19, 2015
Transesophageal Doppler reliably tracks changes in cardiac output in comparison with intermittent pulmonary artery thermodilution in cardiac surgery patientsHasse Møller-Sørensen, Joakim Cordtz, Morten Østergaard, et al.European Radiology|July 27, 2022
Quantitative and qualitative assessments of deep learning image reconstruction in low-keV virtual monoenergetic dual-energy CTJack Junchi Xu, Lars Lönn, Esben Budtz-Jørgensen, et al.Ultraschall in Der Medizin (Stuttgart, Germany : 1980)|April 23, 2011
New technology - demonstration of a vector velocity techniquePeter M Hansen, Mads M Pedersen, Kristoffer L Hansen, et al.Abdominal Radiology (New York)|February 22, 2023
Evaluation of thin-slice abdominal DECT using deep-learning image reconstruction in 74 keV virtual monoenergetic images: an image quality comparisonJack J Xu, Lars Lönn, Esben Budtz-Jørgensen, et al.Journal of Cardiovascular Computed Tomography|October 9, 2016
Clinical and prognostic correlates of pulmonary congestion in coronary computed tomography angiography data setsJ Tobias Kühl, Thomas S Kristensen, Anna F Thomsen, et al.Data in Brief|December 13, 2016
Data on the quantitative assessment pulmonary ground-glass opacification from coronary computed tomography angiography datasetsJ Tobias Kühl, Thomas S Kristensen, Anna F Thomsen, et al.The Journal of Vascular Access|September 21, 2016
Surveillance for hemodialysis access stenosis: usefulness of ultrasound vector volume flowAndreas H Brandt, Jonas Jensen, Kristoffer L Hansen, et al.Pageof 1