Universitat de Girona
Now showing items 1-20 of 40
This thesis deals with the segmentation of brain magnetic resonance imaging applied to multiple sclerosis patients. This disease is characterised by the presence of white matter lesions in this image modality. After a ...
This thesis is focused on the automated segmentation of the brain structures in magnetic resonance images, applied to multiple sclerosis patients. This disease is characterized by the presence of lesions, which affect the ...
L'objectiu principal d'aquesta tesi és el desenvolupament d'un nou mètode de segmentació totalment automàtic capaç de mesurar amb precisió el volum cerebral en imatges de pacients d'EM amb lesions. El mètode que hem proposat ...
In this thesis, we have focused on the image pre-processing in order to enhance the image information. The main aspects of this enhancement rely on removing any image noise and correcting any intensity bias induced by the ...
This PhD thesis focuses on the development of deep learning based methods for accurate segmentation of the sub-cortical brain structures from MRI. First, we have proposed a 2.5D CNN architecture that combines convolutional ...
Stroke is the leading cause of functional motor disorders in adults and, in most cases, alters gait patterns and balance when standing and walking. Rhythmic techniques are recommended to improve gait and balance, since ...
Obesity is considered a modifiable risk factor for cognitive impairment which, in turn, predisposes to overeating and weight gain. Compelling evidence in animal models has demonstrated the impact of the gut microbiome on ...
The quantification of cerebral atrophy is fundamental in neuroinformatics since it permits diagnosing brain diseases, assessing their progression, and determining the effectiveness of novel treatments to counteract them. ...
This thesis is focused on developing novel and fully automated methods for the detection of new multiple sclerosis (MS) lesions in longitudinal brain magnetic resonance imaging (MRI). First, we proposed a fully automated ...
This PhD thesis focuses on improving the extraction of neuroimage markers for the prognosis and outcome prediction of neurological pathologies such as ischemic stroke, Alzheimer’s disease (AD) and multiple sclerosis (MS). ...
Almost all people with stroke have vascular risk factors that influence the risk of developing this disease, many of which can be modified. The study included 115 smokers hospitalized at Dr. University Hospital. Josep ...
Background. Intellectual disability is a neurodevelopment disorder affecting intellectual functioning and adaptive behavior. The increase of life expectancy of this population leads to an increase of mental health pathologies ...
Multiple sclerosis is a chronic neurological disease of the central nervous system with unknown, autoimmune mechanism, and a progressive and disabling course. Lipid-specific oligoclonal IgM bands in cerebrospinal fluid ...
Recombinant tissue plasminogen activator (rt-PA) is currently the only FDA-approved drug for the treatment of acute ischaemic stroke. However, the application of this therapy is limited to <5-7% of patients due to the ...
A number of studies show that the prevalence of ASD is rising in alarming numbers, currently reaching 1 in every 68 people. The most effective approach 2/2 to improve the lives of these children is to support, train and ...
Electrical stimulation of deep brain areas has been suggested as a novel approach to restore memory circuits in Alzheimer’s disease (AD). Previous studies from our group have demonstrated that rewarding stimulation of the ...
The effects of stress on the nervous system, the endocrine system and especially on the immune system have generated the hypothesis that it might be a relevant factor in the evolution of multiple sclerosis (MS). The exposure ...
GPS is an invention that allows us to know the position for people with disorientation and track it in motion, making it easier to find them in case of loss. The study used a combined methodology quantitative and qualitative. ...
More than half of spinal cord injury patients develop central neuropathic pain, which is largely refractory to current treatments. Developing neuropathic pain has a high impact on the quality of life becoming an emotional, ...
Multiple sclerosis is a chronic disease of the central nervous system which has an unknown aetiology and an autoimmune mechanism. Two pathogenic processes, inflammation and neurodegeneration, converge causing a progressive ...
