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A Gaussian Process regression approach to learn strain energy density functions of human brain tissue

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Hyperelastic-Generative-Model

A Gaussian Process regression approach to learn strain energy density functions of human brain tissue

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In press: @article{Granados2019, title = {{A Generative Model of Hyperelastic Strain Energy Density Functions for Real-time Simulation of Brain Deformation.}}, author = {A. Granados and M. Schweiger and V. Vakharia and S. B. Vos and A. Miserocchi and A. W. McEvoy and J. S. Duncan and R. Sparks and S. Ourselin}, journal = {Int Conf on Med Image Comp and Comp-Assisted Interv (MICCAI)}, year = {2019}, volume = {}, number = {}, pages = {218-226} }

Under review: @article{Granados2020, title = {{A Generative Model of Hyperelastic Strain Energy Density Functions for Multi-tissue Brain Deformation.}}, author = {A. Granados and F. Perez-Garcia and M. Schweiger and V. Vakharia and S. B. Vos and A. Miserocchi and A. W. McEvoy and J. S. Duncan and R. Sparks and S. Ourselin}, journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)}, year = {2020}, volume = {}, number = {}, pages = {} }

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