Sethuraman Sankaran, Ph.D.
Affiliations: | 2008 | Cornell University, Ithaca, NY, United States |
Area:
Mechanical EngineeringGoogle:
"Sethuraman Sankaran"Parents
Sign in to add mentor| Nicholas Zabaras | grad student | 2008 | Cornell | |
| (Computational techniques for uncertainty modeling and stochastic optimization of material systems.) | ||||
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Publications
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| Sankaran S, Lesage D, Tombropoulos R, et al. (2020) Physics driven real-time blood flow simulations Computer Methods in Applied Mechanics and Engineering. 364: 112963 |
| Modi BN, Sankaran S, Kim HJ, et al. (2019) Predicting the Physiological Effect of Revascularization in Serially Diseased Coronary Arteries. Circulation. Cardiovascular Interventions. 12: e007577 |
| Nakanishi R, Sankaran S, Grady L, et al. (2018) Automated estimation of image quality for coronary computed tomographic angiography using machine learning. European Radiology |
| Sankaran S, Kim HJ, Choi G, et al. (2016) Uncertainty quantification in coronary blood flow simulations: Impact of geometry, boundary conditions and blood viscosity. Journal of Biomechanics |
| Choi G, Lee JM, Kim HJ, et al. (2015) Coronary Artery Axial Plaque Stress and Its Relationship With Lesion Geometry: Application of Computational Fluid Dynamics to Coronary CT Angiography. Jacc. Cardiovascular Imaging |
| Sankaran S, Grady L, Taylor C. (2015) Fast computation of hemodynamic sensitivity to lumen segmentation uncertainty. Ieee Transactions On Medical Imaging |
| Ramachandra AB, Sankaran S, Humphrey JD, et al. (2015) Computational simulation of the adaptive capacity of vein grafts in response to increased pressure. Journal of Biomechanical Engineering. 137 |
| Sankaran S, Grady L, Taylor CA. (2015) Impact of geometric uncertainty on hemodynamic simulations using machine learning Computer Methods in Applied Mechanics and Engineering. 297: 167-190 |
| Sankaran S, Grady LJ, Taylor CA. (2014) 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 |
| Choi G, Kim H, Park J, et al. (2014) 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 |