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 ...
Bonmatí Coll, Ester (Date of defense: 2016-02-05)
The human brain is a complex network that shares and processes information by using the structural paths between areas in order to perform a function. The connectome models the brain as a graph where ...
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 ...
Llorella Costa, Fabio Ricardo (Date of defense: 2023-06-01)
This doctoral thesis focuses on the study of the use of visual imagery for the construction of brain-computer interfaces (BCI) non-invasive. Although the construction of brain-computer interfaces is ...
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 ...
Kushibar, Kaisar (Date of defense: 2020-07-20)
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 ...
Salem, Mostafa (Date of defense: 2020-02-13)
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 ...
González-Villà, Sandra (Date of defense: 2019-05-31)
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, ...
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 ...