Understanding the impact of stroke on brain motor function: a hierarchical Bayesian approach

Z Yu, R Prado, EB Quinlan, SC Cramer… - Journal of the American …, 2016 - Taylor & Francis
Stroke is a disturbance in blood supply to the brain resulting in the loss of brain functions,
particularly motor function. A study was conducted by the UCI Neurorehabilitation Lab to …

Variational Bayesian blind color deconvolution of histopathological images

N Hidalgo-Gavira, J Mateos, M Vega… - … on Image Processing, 2019 - ieeexplore.ieee.org
Most whole-slide histological images are stained with two or more chemical dyes. Slide stain
separation or color deconvolution is a crucial step within the digital pathology workflow. In …

Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”

X Li, H Liang - Frontiers in neuroinformatics, 2022 - frontiersin.org
In the field of neuroscience, the core of the cohort study project consists of collection,
analysis, and sharing of multi-modal data. Recent years have witnessed a host of efficient …

Deconvolution and restoration of optical endomicroscopy images

AK Eldaly, Y Altmann, A Perperidis… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Optical endomicroscopy (OEM) is an emerging technology platform with preclinical and
clinical imaging applications. Pulmonary OEM via fibre bundles has the potential to provide …

Causality analysis of fMRI data based on the directed information theory framework

Z Wang, A Alahmadi, DC Zhu… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper aims to conduct fMRI-based causality analysis in brain connectivity by exploiting
the directed information (DI) theory framework. Unlike the well-known Granger causality …

Blind color deconvolution of histopathological images using a variational Bayesian approach

N Hidalgo-Gavira, J Mateos, M Vega… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
Whole-slide histological images are routinely used by medical doctors in diagnosis. Most of
these images are stained with the very common and inexpensive hematoxylin and eosin …

Multiscale Bayesian state-space model for Granger causality analysis of brain signal

S Cekic, D Grandjean, O Renaud - Journal of Applied Statistics, 2019 - Taylor & Francis
Modelling time-varying and frequency-specific relationships between two brain signals is
becoming an essential methodological tool to answer theoretical questions in experimental …

Editorial for the research topic: information-based methods for neuroimaging: analyzing structure, function and dynamics

JM Cortes, D Marinazzo, MA Muñoz - Frontiers in Neuroinformatics, 2014 - frontiersin.org
This Research Topic gathers different contributions highlighting novel types of analysis and
methods to deal more efficiently with neuroimaging data, simulated and real, acquired with …

[PDF][PDF] Time-frequency Granger causality with application to nonstationary brain signals

S Cekic - 2015 - access.archive-ouverte.unige.ch
This PhD thesis concerns the modelling of time-varying causal relationships between two
signals, with a focus on signals measuring neural activities. Indeed, in an experimental …

[PDF][PDF] Bayesian image restoration and bacteria detection in optical endomicroscopy

AKM AbdElkarim - 2018 - core.ac.uk
Optical microscopy systems can be used to obtain high-resolution microscopic images of
tissue cultures and ex vivo tissue samples. This imaging technique can be translated for in …