Year |
Citation |
Score |
2020 |
Sankaran S, Lesage D, Tombropoulos R, Xiao N, Kim HJ, Spain D, Schaap M, Taylor CA. Physics driven real-time blood flow simulations Computer Methods in Applied Mechanics and Engineering. 364: 112963. DOI: 10.1016/J.Cma.2020.112963 |
0.396 |
|
2019 |
Modi BN, Sankaran S, Kim HJ, Ellis H, Rogers C, Taylor CA, Rajani R, Perera D. Predicting the Physiological Effect of Revascularization in Serially Diseased Coronary Arteries. Circulation. Cardiovascular Interventions. 12: e007577. PMID 30722688 DOI: 10.1161/Circinterventions.118.007577 |
0.344 |
|
2018 |
Nakanishi R, Sankaran S, Grady L, Malpeso J, Yousfi R, Osawa K, Ceponiene I, Nazarat N, Rahmani S, Kissel K, Jayawardena E, Dailing C, Zarins C, Koo BK, Min JK, et al. Automated estimation of image quality for coronary computed tomographic angiography using machine learning. European Radiology. PMID 29572635 DOI: 10.1007/S00330-018-5348-8 |
0.339 |
|
2016 |
Sankaran S, Kim HJ, Choi G, Taylor CA. Uncertainty quantification in coronary blood flow simulations: Impact of geometry, boundary conditions and blood viscosity. Journal of Biomechanics. PMID 26803339 DOI: 10.1016/J.Jbiomech.2016.01.002 |
0.424 |
|
2015 |
Choi G, Lee JM, Kim HJ, Park JB, Sankaran S, Otake H, Doh JH, Nam CW, Shin ES, Taylor CA, Koo BK. Coronary Artery Axial Plaque Stress and Its Relationship With Lesion Geometry: Application of Computational Fluid Dynamics to Coronary CT Angiography. Jacc. Cardiovascular Imaging. PMID 26363834 DOI: 10.1016/J.Jcmg.2015.04.024 |
0.334 |
|
2015 |
Sankaran S, Grady L, Taylor C. Fast computation of hemodynamic sensitivity to lumen segmentation uncertainty. Ieee Transactions On Medical Imaging. PMID 26087484 DOI: 10.1109/Tmi.2015.2445777 |
0.42 |
|
2015 |
Ramachandra AB, Sankaran S, Humphrey JD, Marsden AL. Computational simulation of the adaptive capacity of vein grafts in response to increased pressure. Journal of Biomechanical Engineering. 137. PMID 25376151 DOI: 10.1115/1.4029021 |
0.359 |
|
2015 |
Sankaran S, Grady L, Taylor CA. Impact of geometric uncertainty on hemodynamic simulations using machine learning Computer Methods in Applied Mechanics and Engineering. 297: 167-190. DOI: 10.1016/J.Cma.2015.08.014 |
0.391 |
|
2014 |
Sankaran S, Grady LJ, Taylor CA. Real-time sensitivity analysis of blood flow simulations to lumen segmentation uncertainty. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 1-8. PMID 25485356 DOI: 10.1007/978-3-319-10470-6_1 |
0.314 |
|
2014 |
Choi G, Kim H, Park J, Lee JM, Sankaran S, Otake H, Doh J, Shin E, Taylor CA, Koo B. TCT-313 Characterization of Lesion Shape and Hemodynamic Forces Acting on Coronary Artery Atherosclerotic Plaques using Computational Flow Dynamics and Computed Tomography Data Journal of the American College of Cardiology. 64: B90. DOI: 10.1016/J.Jacc.2014.07.359 |
0.374 |
|
2013 |
Sankaran S, Humphrey JD, Marsden AL. An efficient framework for optimization and parameter sensitivity analysis in arterial growth and remodeling computations. Computer Methods in Applied Mechanics and Engineering. 256: 200-210. PMID 23626380 DOI: 10.1016/J.Cma.2012.12.013 |
0.41 |
|
2012 |
Schriefl AJ, Reinisch AJ, Sankaran S, Pierce DM, Holzapfel GA. Quantitative assessment of collagen fibre orientations from two-dimensional images of soft biological tissues. Journal of the Royal Society, Interface / the Royal Society. 9: 3081-93. PMID 22764133 DOI: 10.1098/Rsif.2012.0339 |
0.34 |
|
2012 |
Sankaran S, Esmaily Moghadam M, Kahn AM, Tseng EE, Guccione JM, Marsden AL. Patient-specific multiscale modeling of blood flow for coronary artery bypass graft surgery. Annals of Biomedical Engineering. 40: 2228-42. PMID 22539149 DOI: 10.1007/S10439-012-0579-3 |
0.39 |
|
2012 |
Sengupta D, Kahn AM, Burns JC, Sankaran S, Shadden SC, Marsden AL. Image-based modeling of hemodynamics in coronary artery aneurysms caused by Kawasaki disease. Biomechanics and Modeling in Mechanobiology. 11: 915-32. PMID 22120599 DOI: 10.1007/S10237-011-0361-8 |
0.343 |
|
2011 |
Sankaran S, Marsden AL. A stochastic collocation method for uncertainty quantification and propagation in cardiovascular simulations. Journal of Biomechanical Engineering. 133: 031001. PMID 21303177 DOI: 10.1115/1.4003259 |
0.406 |
|
2010 |
Sankaran S, Marsden AL. The impact of uncertainty on shape optimization of idealized bypass graft models in unsteady flow Physics of Fluids. 22. DOI: 10.1063/1.3529444 |
0.366 |
|
2010 |
Sankaran S, Audet C, Marsden AL. A method for stochastic constrained optimization using derivative-free surrogate pattern search and collocation Journal of Computational Physics. 229: 4664-4682. DOI: 10.1016/J.Jcp.2010.03.005 |
0.363 |
|
2009 |
Sankaran S. Stochastic optimization using a sparse grid collocation scheme Probabilistic Engineering Mechanics. 24: 382-396. DOI: 10.1016/J.Probengmech.2008.11.002 |
0.334 |
|
2009 |
Bazilevs Y, Hsu MC, Benson DJ, Sankaran S, Marsden AL. Computational fluid-structure interaction: Methods and application to a total cavopulmonary connection Computational Mechanics. 45: 77-89. DOI: 10.1007/S00466-009-0419-Y |
0.338 |
|
2007 |
Zabaras N, Sankaran S. An information-theoretic approach to stochastic materials modeling Computing in Science and Engineering. 9: 30-39. DOI: 10.1109/MCSE.2007.24 |
0.522 |
|
2007 |
Sankaran S, Zabaras N. Computing property variability of polycrystals induced by grain size and orientation uncertainties Acta Materialia. 55: 2279-2290. DOI: 10.1016/J.Actamat.2006.11.025 |
0.569 |
|
2006 |
Sankaran S, Zabaras N. A maximum entropy approach for property prediction of random microstructures Acta Materialia. 54: 2265-2276. DOI: 10.1016/J.Actamat.2006.01.015 |
0.531 |
|
Show low-probability matches. |