Mostrando ítems 1-6 de 6
Bernal Moyano, Jose (Fecha 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 ...
Clèrigues Garcia, Albert (Fecha 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 ...
Banús Paradell, Núria (Fecha de defensa: 2021-12-16)
Machine vision systems and artificial intelligence techniques are two active research areas in the context of Industry 4.0. Their combination allows the reproduction of human procedures while improving ...
Kushibar, Kaisar (Fecha 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 (Fecha 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 ...
Agarwal, Richa (Fecha de defensa: 2019-09-26)
In the field of breast cancer imaging, traditional Computer Aided Detection (CAD) systems were designed using limited computing resources and used scanned films (poor image quality), resulting in less ...
Magnetic resonance imaging (4)