[HTML][HTML] Best practices for fNIRS publications
The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
been expanding over the last 40 years. Today, it is addressing a wide range of applications …
[HTML][HTML] Optical imaging and spectroscopy for the study of the human brain: status report
This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …
extensive and diverse toolkit of novel methods to explore brain health and function. While …
Multi-Scattering software: part I: online accelerated Monte Carlo simulation of light transport through scattering media
J Jönsson, E Berrocal - Optics express, 2020 - opg.optica.org
In this article we present and describe an online freely accessible software called Multi-
Scattering for the modeling of light propagation in scattering and absorbing media. Part II of …
Scattering for the modeling of light propagation in scattering and absorbing media. Part II of …
Hybrid mesh and voxel based Monte Carlo algorithm for accurate and efficient photon transport modeling in complex bio-tissues
Over the past decade, an increasing body of evidence has suggested that three-dimensional
(3-D) Monte Carlo (MC) light transport simulations are affected by the inherent limitations …
(3-D) Monte Carlo (MC) light transport simulations are affected by the inherent limitations …
A wireless, skin-interfaced biosensor for cerebral hemodynamic monitoring in pediatric care
The standard of clinical care in many pediatric and neonatal neurocritical care units involves
continuous monitoring of cerebral hemodynamics using hard-wired devices that physically …
continuous monitoring of cerebral hemodynamics using hard-wired devices that physically …
[HTML][HTML] A bi-atrial statistical shape model for large-scale in silico studies of human atria: model development and application to ECG simulations
Large-scale electrophysiological simulations to obtain electrocardiograms (ECG) carry the
potential to produce extensive datasets for training of machine learning classifiers to, eg …
potential to produce extensive datasets for training of machine learning classifiers to, eg …
Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective
Recent progress in optoelectronics has made wearable and high-density functional near-
infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) technologies possible …
infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) technologies possible …
Modeling the biomechanics of the lamina cribrosa microstructure in the human eye
Glaucoma is among the leading causes of blindness worldwide that is characterized by
irreversible damage to the retinal ganglion cell axons in the lamina cribrosa (LC) region of …
irreversible damage to the retinal ganglion cell axons in the lamina cribrosa (LC) region of …
[HTML][HTML] MRI-based parameter inference for cerebral perfusion modelling in health and ischaemic stroke
Cerebral perfusion modelling is a promising tool to predict the impact of acute ischaemic
stroke treatments on the spatial distribution of cerebral blood flow (CBF) in the human brain …
stroke treatments on the spatial distribution of cerebral blood flow (CBF) in the human brain …
Developing an experimental-computational workflow to study the biomechanics of the human conventional aqueous outflow pathway
The aqueous humor actively interacts with the trabecular meshwork (TM), juxtacanalicular
tissue (JCT), and Schlemm's canal (SC) through a dynamic fluid-structure interaction (FSI) …
tissue (JCT), and Schlemm's canal (SC) through a dynamic fluid-structure interaction (FSI) …