Artificial intelligence techniques for automated diagnosis of neurological disorders

U Raghavendra, UR Acharya, H Adeli - European neurology, 2020 - karger.com
Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …

[HTML][HTML] Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution …

I Rekik, S Allassonnière, TK Carpenter, JM Wardlaw - NeuroImage: Clinical, 2012 - Elsevier
Over the last 15 years, basic thresholding techniques in combination with standard statistical
correlation-based data analysis tools have been widely used to investigate different aspects …

[HTML][HTML] MRI study on reversible and irreversible electroporation induced blood brain barrier disruption

M Hjouj, D Last, D Guez, D Daniels, S Sharabi, J Lavee… - 2012 - journals.plos.org
Electroporation, is known to induce cell membrane permeabilization in the reversible (RE)
mode and cell death in the irreversible (IRE) mode. Using an experimental system designed …

Male and female mice exhibit divergent responses of the cortical vasculature to traumatic brain injury

A Jullienne, A Salehi, B Affeldt, M Baghchechi… - Journal of …, 2018 - liebertpub.com
We previously reported that traumatic brain injuries (TBI) alter the cerebrovasculature near
the injury site in rats, followed by revascularization over a 2-week period. Here, we tested …

Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images

A Subudhi, UR Acharya, M Dash, S Jena… - Computers in biology and …, 2018 - Elsevier
It is difficult to develop an accurate algorithm to detect the stroke lesions using magnetic
resonance imaging (MRI) images due to variation in different lesion sizes, variation in …

CX3CR1-CCR2-dependent monocyte-microglial signaling modulates neurovascular leakage and acute injury in a mouse model of childhood stroke

J Faustino, S Chip, N Derugin… - Journal of Cerebral …, 2019 - journals.sagepub.com
Stroke is among the top 10 causes of death in children. The developmental stage of the
brain is central to stroke pathophysiology. The incidence of childhood arterial ischemic …

Role of the non‐invasive imaging techniques in monitoring and understanding the evolution of brain edema

A Obenaus, J Badaut - Journal of Neuroscience Research, 2022 - Wiley Online Library
Human brain injury elicits accumulation of water within the brain due to a variety of
pathophysiological processes. As our understanding of edema emerged two temporally …

[HTML][HTML] Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images

J An, L Wendt, G Wiese, T Herold, N Rzepka… - Scientific Reports, 2023 - nature.com
Magnetic resonance imaging (MRI) is widely used for ischemic stroke lesion detection in
mice. A challenge is that lesion segmentation often relies on manual tracing by trained …

Automated detection of brain abnormalities in neonatal hypoxia ischemic injury from MR images

N Ghosh, Y Sun, B Bhanu, S Ashwal, A Obenaus - Medical image analysis, 2014 - Elsevier
We compared the efficacy of three automated brain injury detection methods, namely
symmetry-integrated region growing (SIRG), hierarchical region splitting (HRS) and modified …

The assessment of labor: a brief history

WR Cohen, EA Friedman - Journal of perinatal medicine, 2018 - degruyter.com
In the 1930s, investigators in the US, Germany and Switzerland made the first attempts to
quantify the course of labor in a clinically meaningful way. They emphasized the rupture of …