Lucian Mihai Itu

TL;DR: An energy efficiency analysis reveals that the GTX 660M and the more powerful Titan cards require a similar amount of energy for running the GMG algorithm: the larger execution time is compensated by the lower power consumption.

TL;DR: A novel coupling algorithm is proposed, based on the operator-splitting scheme, which implements the viscoelastic wall law at the coupling nodes of the vessels, which demonstrates the importance of modeling the viscous component of the pressure-area relationship at all grid points, including the coupling points between vessels or at the inlet/outlet of the model.

TL;DR: In this article, a method and system for personalized blood flow modeling based on wearable sensor networks is disclosed, where a personalized anatomical model of vessels of a patient is generated based on initial patient data.

TL;DR: An important property of the proposed approach is that the speed-up obtained remains constant for arterial trees which are up to ten times smaller than e regular tree representing the large arteries of the human cardiovascular system, which can be used with the same impact for simulations of entire systemic trees and of smaller localized trees.

TL;DR: A privacy-preserving cloud-based machine learning framework for wearable devices, a library for fast implementation and deployment of deep learning-based solutions on homomorphically encrypted data, and a proof-of-concept study for atrial fibrillation detection from electrocardiograms recorded on a wearable device are proposed.