An Information-Theoretic Approach to Stochastic Materials Modeling. - Nicholas Zabaras; Sethuraman Sankaran (Comput. Sci. Eng., 2007)

A method for stochastic constrained optimization using derivative-free surrogate pattern search and collocation. - Sethuraman Sankaran; Charles Audet; Alison L. Marsden (J. Comput. Phys., 2010)

Optimization of computationally expensive simulations with Gaussian processes and parameter uncertainty: Application to cardiovascular surgery. - Jing Xie 009; Peter I. Frazier; Sethuraman Sankaran; Alison L. Marsden; Saleh Elmohamed (Allerton Conference, 2012)

Real-Time Sensitivity Analysis of Blood Flow Simulations to Lumen Segmentation Uncertainty. - Sethuraman Sankaran; Leo J. Grady; Charles A. Taylor (MICCAI (2), 2014)

Fast Computation of Hemodynamic Sensitivity to Lumen Segmentation Uncertainty. - Sethuraman Sankaran; Leo J. Grady; Charles A. Taylor (IEEE Trans. Medical Imaging, 2015)

HALE: Healthy Area of Lumen Estimation for Vessel Stenosis Quantification. - Sethuraman Sankaran; Michiel Schaap; Stanley C. Hunley; James K. Min; Charles A. Taylor; Leo J. Grady (MICCAI (3), 2016)

Physics driven reduced order model for real time blood flow simulations. - Sethuraman Sankaran; David Lesage; Rhea Tombropoulos; Nan Xiao; Hyun Jin Kim 003; David Spain; Michiel Schaap; Charles A. Taylor (CoRR, 2019)

Multimodal Fusion Refiner Networks. - Sethuraman Sankaran; David Yang; Ser-Nam Lim (CoRR, 2021)