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Journal of Vascular Surgery|October 8, 2017
Reduced shear stress and associated aortic deformation in the thoracic aorta of patients with chronic obstructive pulmonary diseaseMichal Schäfer, Vitaly O Kheyfets, Alex J Barker, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|December 17, 1998
The structural and functional mechanisms of motor recovery: complementary use of diffusion tensor and functional magnetic resonance imaging in a traumatic injury of the internal capsuleD J Werring, C A Clark, G J Barker, et al.
European Journal of Clinical Investigation|October 8, 2008
A novel antagonist of prostaglandin D2 blocks the locomotion of eosinophils and basophilsJ F Royer, P Schratl, J J Carrillo, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 26, 2003
Application of a B-spline active surface technique to the measurement of cervical cord volume in multiple sclerosis from three-dimensional MR imagesSimon J Hickman, Olivier Coulon, Geoffrey J M Parker, et al.
The Journal of Endocrinology|December 1, 1991
Localization and endogenous concentration of endothelin-like immunoreactivity in human placentaC L van Papendorp, I T Cameron, A P Davenport, et al.
Journal of Psychiatric Research|August 21, 2020
Progression of neuroanatomical abnormalities after first-episode of psychosis: A 3-year longitudinal sMRI studyTheophilus N Akudjedu, Giulia Tronchin, Shane McInerney, et al.
Thorax|June 17, 2000
Atopy, lung function, and obstructive airways disease after prenatal exposure to famineC E Lopuhaä, T J Roseboom, C Osmond, et al.
Annals of Biomedical Engineering|August 15, 2014
Characterization of abnormal wall shear stress using 4D flow MRI in human bicuspid aortopathyPim van Ooij, Wouter V Potters, Jeremy Collins, et al.
Clinical Epigenetics|July 29, 2021
Aorta-specific DNA methylation patterns in cell-free DNA from patients with bicuspid aortic valve-associated aortopathyAshna Maredia, David Guzzardi, Mohammad Aleinati, et al.
Magnetic Resonance in Medicine|March 14, 2020
Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learningHaben Berhane, Michael Scott, Mohammed Elbaz, et al.
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