GPU computing in medical physics: A review

G Pratx, L Xing - Medical physics, 2011 - Wiley Online Library
The graphics processing unit (GPU) has emerged as a competitive platform for computing
massively parallel problems. Many computing applications in medical physics can be …

Deformable models for surgical simulation: a survey

J Zhang, Y Zhong, C Gu - IEEE reviews in biomedical …, 2017 - ieeexplore.ieee.org
This paper presents a survey of the state-of-the-art deformable models studied in the
literature, with regard to soft tissue deformable modeling for interactive surgical simulation. It …

Accelerated finite element elastodynamic simulations using the GPU

P Huthwaite - Journal of Computational Physics, 2014 - Elsevier
An approach is developed to perform explicit time domain finite element simulations of
elastodynamic problems on the graphical processing unit, using Nvidiaʼs CUDA. Of critical …

Real-time simulation of contact and cutting of heterogeneous soft-tissues

H Courtecuisse, J Allard, P Kerfriden, SPA Bordas… - Medical image …, 2014 - Elsevier
This paper presents a numerical method for interactive (real-time) simulations, which
considerably improves the accuracy of the response of heterogeneous soft-tissue models …

Machine learning approach to model order reduction of nonlinear systems via autoencoder and LSTM networks

T Simpson, N Dervilis, E Chatzi - Journal of Engineering Mechanics, 2021 - ascelibrary.org
In analyzing and assessing the condition of dynamical systems, it is necessary to account for
nonlinearity. Recent advances in computation have rendered previously computationally …

The virtual vision of neurosurgery: how augmented reality and virtual reality are transforming the neurosurgical operating room

S Durrani, C Onyedimma, R Jarrah, A Bhatti… - World Neurosurgery, 2022 - Elsevier
Background In this era of imagination and technological innovation, mixed reality systems
such as virtual reality (VR) and augmented reality (AR) are contributing to a wide array of …

Virtual reality simulation in neurosurgery: technologies and evolution

S Chan, F Conti, K Salisbury, NH Blevins - Neurosurgery, 2013 - journals.lww.com
Neurosurgeons are faced with the challenge of learning, planning, and performing
increasingly complex surgical procedures in which there is little room for error. With …

[HTML][HTML] Numerical analysis of impact failure of automotive laminated glass: A review

S Chen, M Zang, D Wang, S Yoshimura… - Composites Part B …, 2017 - Elsevier
Laminated glass is a simple sandwiched composite structure, while being widely used in the
automotive industry as windshield glazings. It is considered to be safety glass due to its …

A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery

M Tonutti, G Gras, GZ Yang - Artificial intelligence in medicine, 2017 - Elsevier
Objectives Accurate reconstruction and visualisation of soft tissue deformation in real time is
crucial in image-guided surgery, particularly in augmented reality (AR) applications. Current …

PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery

Y Salehi, D Giannacopoulos - Advances in Neural …, 2022 - proceedings.neurips.cc
Correctly capturing intraoperative brain shift in image-guided neurosurgical procedures is a
critical task for aligning preoperative data with intraoperative geometry for ensuring accurate …