Ara mostrant els elements 1-10 de 13
Ganiler, Onur (Data de defensa: 2014-10-24)
This thesis deals with the detection of new multiple sclerosis (MS) lesions in longitudinal brain magnetic resonance (MR) imaging. This disease is characterized by the presence of lesions in the brain, ...
Masias Moyset, Marc (Data de defensa: 2014-07-28)
The use of automatic algorithms to detect astronomical sources (stars, galaxies, gas, dust or cosmic rays) becomes of great importance because of the increasing amount of astronomical images and the ...
Bernal Moyano, Jose (Data de defensa: 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 ...
Torrent Palomeras, Albert (Data de defensa: 2013-07-08)
This thesis deals with the simultaneous detection and segmentation for generic objects in images. The proposed approach is based on building a dictionary of patches, which defines the object and allows ...
Cabezas Grebol, Mariano (Data de defensa: 2013-07-16)
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 ...
Zappella, Luca (Data de defensa: 2011-06-30)
En aquesta tesi s’estudia el problema de la segmentació del moviment. La tesi presenta una revisió dels principals algoritmes de segmentació del moviment, s’analitzen les característiques principals i ...
Clèrigues Garcia, Albert (Data de defensa: 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 ...
Roura Pérez, Eloy (Data de defensa: 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 (Data de defensa: 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 (Data de defensa: 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 ...