Search Results for author: Mark A. Pinnock

Found 1 papers, 0 papers with code

Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes

no code implementations9 Jul 2020 Shaheer U. Saeed, Zeike A. Taylor, Mark A. Pinnock, Mark Emberton, Dean C. Barratt, Yipeng Hu

Based on 160, 000 nonlinear FE simulations on clinical imaging data from 320 patients, we demonstrate that the trained networks generalise to unstructured point sets sampled directly from holdout patient segmentation, yielding a near real-time inference and an expected error of 0. 017 mm in predicted nodal displacement.

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