Data-driven approach to quantify trust in medical devices using Bayesian networks

M Thomas, O Boursalie, R Samavi… - … Biology and Medicine, 2023 - journals.sagepub.com
Bayesian networks are increasingly used to quantify the uncertainty of subjective and
stochastic concepts such as trust. In this article, we propose a data-driven approach to …

[HTML][HTML] On the use of multicompartment models of diffusion and relaxation for placental imaging

A Melbourne - Placenta, 2021 - Elsevier
Multi-compartment models of diffusion and relaxation are ubiquitous in magnetic resonance
research especially applied to neuroimaging applications. These models are increasingly …

Quantifying Trust in Wearable Medical Devices

M Thomas - 2024 - macsphere.mcmaster.ca
Advances in sensor and digital communication technologies have revolutionized the
capabilities of wearable medical device (WMD) to monitor patients' health remotely, raising …

Placenta Accreta Spectrum (PAS) Disorders Investigated with Multi-Compartment Placental MRI

N Mufti, P O'Brien, G Attilakos, M Sokolska… - archive.ismrm.org
Uterine scarring from caesarean section (CS) can lead to subsequent abnormally adherent
or invasive placenta. Failure to recognise Placenta Accreta Spectrum disorders prior to …

A Bayesian Approach for Diffusion-Weighted Imaging to study placenta development and function in pregnancy in a large animal model

D Flouri, JRT Darby, SL Holman, SR Perumal… - archive.ismrm.org
Abnormalities of placental development and function result in fetal growth restriction. There
is growing interest in understanding placenta structure and function throughout pregnancy to …