Prediction of abdominal aortic aneurysm growth using dynamical Gaussian process implicit surface

HN Do, A Ijaz, H Gharahi, B Zambrano… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Objective: We propose a novel approach to predict the Abdominal Aortic Aneurysm (AAA)
growth in future time, using longitudinal computer tomography (CT) scans of AAAs that are …

Gaussian process prediction of the stress-free configuration of pre-deformed soft tissues: Application to the human cornea

E Businaro, H Studer, B Pajic, P Büchler - Medical engineering & physics, 2016 - Elsevier
Image-based modeling is a popular approach to perform patient-specific biomechanical
simulations. One constraint of this technique is that the shape of soft tissues acquired in-vivo …

[图书][B] Predictive models for robotics and biomedical applications

HN Do - 2017 - search.proquest.com
Data science has been transforming an enormous number of research areas. It has opened
the door to new measures to analyze and extract useful information from raw data. However …

[引用][C] Truncated Gaussian process regression for predicting growth of abdominal aortic aneurysm and for temporal modeling of sentiments

A Ijaz - 2013 - Michigan State University. Electrical …