[HTML][HTML] Review on generic methods for mechanical modeling, simulation and control of soft robots

P Schegg, C Duriez - Plos one, 2022 - journals.plos.org
In this review paper, we are interested in the models and algorithms that allow generic
simulation and control of a soft robot. First, we start with a quick overview of modeling …

Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

M Avanzo, M Porzio, L Lorenzon, L Milan, R Sghedoni… - Physica Medica, 2021 - Elsevier
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

Real‐time biomechanics using the finite element method and machine learning: Review and perspective

R Phellan, B Hachem, J Clin, JM Mac‐Thiong… - Medical …, 2021 - Wiley Online Library
Purpose The finite element method (FEM) is the preferred method to simulate phenomena in
anatomical structures. However, purely FEM‐based mechanical simulations require …

SofaGym: An open platform for reinforcement learning based on soft robot simulations

P Schegg, E Ménager, E Khairallah, D Marchal… - Soft …, 2023 - liebertpub.com
OpenAI Gym is one of the standard interfaces used to train Reinforcement Learning (RL)
Algorithms. The Simulation Open Framework Architecture (SOFA) is a physics-based engine …

Simulation of postoperative facial appearances via geometric deep learning for efficient orthognathic surgical planning

L Ma, D Xiao, D Kim, C Lian, T Kuang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Orthognathic surgery corrects jaw deformities to improve aesthetics and functions. Due to
the complexity of the craniomaxillofacial (CMF) anatomy, orthognathic surgery requires …

A novel deep learning-driven approach for predicting the pelvis soft-tissue deformations toward a real-time interactive childbirth simulation

DH Nguyen-Le, A Ballit, TT Dao - Engineering Applications of Artificial …, 2023 - Elsevier
Background and objective Soft-tissue dynamics plays an essential role in the mechanical
functions of the human body. Numerical approaches using finite element modeling and …

Non-rigid volume to surface registration using a data-driven biomechanical model

M Pfeiffer, C Riediger, S Leger, JP Kühn… - … Image Computing and …, 2020 - Springer
Non-rigid registration is a key component in soft-tissue navigation. We focus on laparoscopic
liver surgery, where we register the organ model obtained from a preoperative CT scan to …

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning

N Lampen, D Kim, X Fang, X Xu, T Kuang… - International journal of …, 2022 - Springer
Purpose Orthognathic surgery requires an accurate surgical plan of how bony segments are
moved and how the face passively responds to the bony movement. Currently, finite element …

Optimizing autoinjector devices using physics-based simulations and Gaussian processes

V Sree, X Zhong, I Bilionis, A Ardekani… - Journal of the Mechanical …, 2023 - Elsevier
Autoinjectors are becoming a primary drug delivery option to the subcutaneous space.
These devices need to work robustly and autonomously to maximize drug bio-availability …

Model selection and sensitivity analysis in the biomechanics of soft tissues: A case study on the human knee meniscus

E Elmukashfi, G Marchiori, M Berni, G Cassiolas… - Advances in applied …, 2022 - Elsevier
Soft tissues—such as ligaments and tendons—primarily consist of solid (collagen,
predominantly) and liquid phases. Understanding the interaction between such components …