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Inhomogeneity in optical properties of rat brain: a study for LLLT dosimetry.
(San Francisco, 2013)
Over the last few years, low-level light therapy (LLLT) has shown an incredible suitability for a wide
range of applications for central nervous system (CNS) related diseases. In this therapeutic modality light
dosimetry ...
Enhancing brain storm optimization through optimum-path forest
(2018-08-20)
Among the many interesting meta-heuristic optimization algorithms, one can find those inspired by both the swarm and social behavior of human beings. The Brain Storm Optimization (BSO) is motivated by the brainstorming ...
Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks
(2020-12-16)
Magnetic resonance imaging (MRI) is the most commonly used exam for diagnosis and follow-up of neurodegenerative diseases, such as multiple sclerosis (MS). MS is a neuroinflammatory and neurodegenerative disease characterized ...
Optimizing optimum-path forest classification for huge datasets
(2010-11-18)
Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...
Enhancing Brain Storm Optimization Through Optimum-Path Forest
(Ieee, 2018-01-01)
Among the many interesting meta-heuristic optimization algorithms, one can find those inspired by both the swarm and social behavior of human beings. The Brain Storm Optimization (BSO) is motivated by the brainstorming ...
Motor imagery classification for Brain-Computer Interfaces through a chaotic neural network
(IEEE Computational Intelligence SocietyChinese Academy of SciencesNational Natural Science Foundation of ChinaBeijing, 2014-07)
In this paper, we propose to enhance the detection of control states in online brain-computer interfaces (BCI) with the use of the biologically inspired K-set neural network. This neural network was initially built to model ...
Charge-Pump Circuit in 65nm CMOS for Neural Stimulation on Deep-Brain Stimulation
(2021-01-01)
Deep-Brain Stimulation (DBS) is an emerging area to improve the life of patients with brain deceases and one with the most dynamic research towards implantable devices. This paper presents an electronic circuit to generate ...
Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning
(2016-12-16)
Initial stages of Alzheimer's disease are easily confused with the normal aging process. Additionally, the methodology involved in the diagnosis by radiologists can be subjective and difficult to document. In this scenario, ...
Hyperosmolality Induced Changes in Gene Expression in Cardiovascular Control Centers in the Brain
(Lippincott Williams & Wilkins, 2010-11-01)
Leptomeningeal enhancement in computed tomography of feline brains
(Univ Federal Rural Pernambuco, 2011-12-01)
Contrast enhancement enables the verification of several pathological conditions that lead to vascular changes and/or breakdown of the blood-brain barrier. Examples of diseases that cause these disorders are: neoplastic ...