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Sanjay Pant
Sanjay Pant
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Cited by
Cited by
Year
Multiobjective design optimisation of coronary stents
S Pant, G Limbert, NP Curzen, NW Bressloff
Biomaterials 32 (31), 7755-7773, 2011
1342011
Geometry parameterization and multidisciplinary constrained optimization of coronary stents
S Pant, NW Bressloff, G Limbert
Biomechanics and modeling in mechanobiology 11, 61-82, 2012
1282012
A methodological paradigm for patient‐specific multi‐scale CFD simulations: from clinical measurements to parameter estimates for individual analysis
S Pant, B Fabrèges, JF Gerbeau, IE Vignon‐Clementel
International journal for numerical methods in biomedical engineering 30 (12 …, 2014
1142014
The influence of strut-connectors in stented vessels: a comparison of pulsatile flow through five coronary stents
S Pant, NW Bressloff, AIJ Forrester, N Curzen
Annals of biomedical engineering 38, 1893-1907, 2010
892010
Estimating the accuracy of a reduced‐order model for the calculation of fractional flow reserve (FFR)
E Boileau, S Pant, C Roobottom, I Sazonov, J Deng, X Xie, P Nithiarasu
International journal for numerical methods in biomedical engineering 34 (1 …, 2018
782018
Nonparametric k-nearest-neighbor entropy estimator
D Lombardi, S Pant
Physical Review E 93 (1), 013310, 2016
682016
Non‐invasive coronary CT angiography‐derived fractional flow reserve (FFR): A benchmark study comparing the diagnostic performance of four different computational methodologies
J Carson, S Pant, C Roobottom, R Alcock, PJ Blanco, CA Bulant, ...
International Journal for Numerical Methods in Biomedical Engineering, e3235, 2019
482019
Data assimilation and modelling of patient-specific single-ventricle physiology with and without valve regurgitation
S Pant, C Corsini, C Baker, TY Hsia, G Pennati, IE Vignon-Clementel, ...
Journal of biomechanics 49 (11), 2162-2173, 2016
472016
Inverse problems in reduced order models of cardiovascular haemodynamics: aspects of data assimilation and heart rate variability
S Pant, C Corsini, C Baker, TY Hsia, G Pennati, IE Vignon-Clementel
Journal of The Royal Society Interface 14 (126), 20160513, 2017
352017
Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database
G Jones, J Parr, P Nithiarasu, S Pant
Biomechanics and Modeling in Mechanobiology, 2021
272021
On improving the numerical convergence of highly nonlinear elasticity problems
Y Mei, DE Hurtado, S Pant, A Aggarwal
Computer Methods in Applied Mechanics and Engineering 337, 110-127, 2018
252018
An information-theoretic approach to assess practical identifiability of parametric dynamical systems
S Pant, D Lombardi
Mathematical biosciences 268, 66-79, 2015
252015
A multiscale filtering-based parameter estimation method for patient-specific coarctation simulations in rest and exercise
S Pant, B Fabrèges, JF Gerbeau, IE Vignon-Clementel
Statistical Atlases and Computational Models of the Heart. Imaging and …, 2013
182013
A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations
A Coccarelli, JM Carson, A Aggarwal, S Pant
Biomechanics and Modeling in Mechanobiology 20, 1231-1249, 2021
162021
Information sensitivity functions to assess parameter information gain and identifiability of dynamical systems
S Pant
Journal of The Royal Society Interface 15 (142), 20170871, 2018
142018
A physiologically realistic virtual patient database for the study of arterial haemodynamics
G Jones, J Parr, P Nithiarasu, S Pant
International Journal for Numerical Methods in Biomedical Engineering 37 (10 …, 2021
122021
A proof of concept study for machine learning application to stenosis detection
G Jones, J Parr, P Nithiarasu, S Pant
Medical & Biological Engineering & Computing, 2021
122021
A lumped parameter model to study atrioventricular valve regurgitation in Stage 1 and changes across Stage 2 surgery in single ventricle patients
S Pant, C Corsini, C Baker, TY Hsia, G Pennati, IE Vignon-Clementel
IEEE Transactions on Biomedical Engineering 65 (11), 2450-2458, 2018
92018
Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues
A Aggarwal, BS Jensen, S Pant, CH Lee
Computer Methods in Applied Mechanics and Engineering 404, 115812, 2023
72023
An information-theoretic framework for optimal design: analysis of protocols for estimating soft tissue parameters in biaxial experiments
A Aggarwal, D Lombardi, S Pant
Axioms 10 (2), 79, 2021
72021
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