We present a web-based framework based on the R shiny package with functional back-end
server in machine learning methods. A 4-tiers architecture is programmed to achieve users' …

The finite‐element method (FEM) is a well‐established procedure for computing
approximate solutions to deterministic engineering problems described by partial differential …

Background Breast-conserving surgery is the most acceptable operation for breast cancer
removal from an invasive and psychological point of view. Before the surgical procedure, a …

Physics-based Patient-Specific Biomechanical models (PSBMs), particularly those using
finite element methods (FEM), simulate organ behaviors accurately but are computationally …

Soft biological tissues demonstrate strong time-dependent and strain-rate mechanical
behavior, arising from their intrinsic visco-elasticity and fluid–solid interactions. The time …

Errors in biomechanical simulations arise from modelling and discretization. Discretization
errors can be quantified with a posteriori error estimates. The relevance of such error …

This thesis presents a novel augmented reality (AR) system guided by intravascular
ultrasound (IVUS) to enhance the precision of minimally invasive liver surgeries. While IVUS …

Errors in biomechanical simulations arise from modelling and discretization. Discretization
errors can be quantified with a posteriori error estimates. The relevance of such error …

This paper introduces Deform Any Liver (DAL), a realtime surrogate model designed to
accurately predict any liver deformation, given a set of applied forces. DAL leverages a …

In this paper we employ a Banach spaces-based framework to introduce and analyze new
mixed finite element methods for the numerical solution of the coupled Stokes and Poisson …