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Journal of Digital Imaging|March 11, 2018
Evaluation of a Semi-automatic Right Ventricle Segmentation Method on Short-Axis MR ImagesPinar Yilmaz, Karel Wallecan, Wisnumurti Kristanto, et al.
Medical Physics|September 5, 2014
3D/3D registration of coronary CTA and biplane XA reconstructions for improved image guidanceGerardo Dibildox, Nora Baka, Mark Punt, et al.
Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology|July 18, 2009
A novel dedicated quantitative coronary analysis methodology for bifurcation lesionsSteve Ramcharitar, Yoshinobu Onuma, Jean-Paul Aben, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 1, 2007
Evaluation of manual and automatic segmentation of the mouse heart from CINE MR imagesEdwin Heijman, Jean-Paul Aben, Cindy Penners, et al.
The International Journal of Cardiovascular Imaging|February 20, 2026
Experimental comparisons of optical coherence tomography-based versus angiography-based time-averaged wall shear stress estimationsJarka Naser, Nicholas A Fogell, Miten Patel, et al.
Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions|October 13, 2010
Two-dimensional quantitative coronary angiographic models for bifurcation segmental analysis: in vitro validation of CAAS against precision manufactured plexiglas phantomsChrysafios Girasis, Johan C H Schuurbiers, Yoshinobu Onuma, et al.
Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology|March 22, 2012
Advances in two-dimensional quantitative coronary angiographic assessment of bifurcation lesions: improved small lumen diameter detection and automatic reference vessel diameter derivationChrysafios Girasis, Johan C H Schuurbiers, Yoshinobu Onuma, et al.
Biomedical Engineering Online|August 22, 2021
Assessment of turbulent blood flow and wall shear stress in aortic coarctation using image-based simulationsRomana Perinajová, Joe F Juffermans, Jonhatan Lorenzo Mercado, et al.
Frontiers in Cardiovascular Medicine|December 2, 2022
Deep learning-based detection of functionally significant stenosis in coronary CT angiographyNils Hampe, Sanne G M van Velzen, R Nils Planken, et al.
Global Heart|August 12, 2021
Quantitative Angiographic Assessment of Aortic Regurgitation After Transcatheter Implantation of the Venus A-valve: Comparison with Other Self-Expanding Valves and Impact of a Learning Curve in a Single Chinese CenterRutao Wang, Hideyuki Kawashima, Darren Mylotte, et al.
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