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IEEE Transactions on Medical Imaging|January 1, 1995
Segmentation of intravascular ultrasound images: a knowledge-based approachM Sonka, X Zhang, M Siebes, et al.
AJNR. American Journal of Neuroradiology|September 19, 2009
Intracranial blood-flow velocity and pressure measurements using an intra-arterial dual-sensor guidewireS P Ferns, J J Schneiders, M Siebes, et al.
Journal of Biomechanics|December 14, 2011
A novel porous mechanical framework for modelling the interaction between coronary perfusion and myocardial mechanicsA N Cookson, J Lee, C Michler, et al.
American Journal of Physiology. Heart and Circulatory Physiology|December 24, 2013
Perfusion territories subtended by penetrating coronary arteries increase in size and decrease in number toward the subendocardiumP van Horssen, J P H M van den Wijngaard, M J Brandt, et al.
Medical & Biological Engineering & Computing|November 1, 2005
Visualisation of intramural coronary vasculature by an imaging cryomicrotome suggests compartmentalisation of myocardial perfusion areasJ A E Spaan, R ter Wee, J W G E van Teeffelen, et al.
Circulation|February 24, 2001
Role of variability in microvascular resistance on fractional flow reserve and coronary blood flow velocity reserve in intermediate coronary lesionsM Meuwissen, S A Chamuleau, M Siebes, et al.
AJNR. American Journal of Neuroradiology|May 12, 2012
Comparison of phase-contrast MR imaging and endovascular sonography for intracranial blood flow velocity measurementsJ J Schneiders, S P Ferns, P van Ooij, et al.
American Journal of Physiology. Heart and Circulatory Physiology|January 31, 2016
Influence of segmented vessel size due to limited imaging resolution on coronary hyperemic flow prediction from arterial crown volumeP van Horssen, M G J T B van Lier, J P H M van den Wijngaard, et al.
Netherlands Heart Journal : Monthly Journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation|February 20, 2015
Role of plaque inflammation in acute and recurrent coronary syndromesM Meuwissen, A C van der Wal, M Siebes, et al.
SLAS Discovery : Advancing Life Sciences R & D|May 14, 2020
Combining Supervised and Unsupervised Machine Learning Methods for Phenotypic Functional Genomics ScreeningWienand A Omta, Roy G van Heesbeen, Ian Shen, et al.
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