Browsing Institut de Recerca en Visió per Computador i Robòtica by Subject "616.8"

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Automated brain tissue segmentation of magnetic resonance images in multiple sclerosis

Valverde Valverde, Sergi (Date of defense: 2016-06-14)

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 ...

Automated methods on magnetic resonance brain imaging in multiple sclerosis

Roura Pérez, Eloy (Date of defense: 2016-07-01)

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 ...

Deep learning for atrophy quantification in brain magnetic resonance imaging

Bernal Moyano, Jose (Date of defense: 2020-10-27)

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. ...

Deep learning methods for extraction of neuroimage markers in the prognosis of brain pathologies

Clèrigues Garcia, Albert (Date of defense: 2023-02-13)

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). ...