Ara mostrant els elements 1-7 de 7
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 ...
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 ...
Llorella Costa, Fabio Ricardo (Data de defensa: 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 ...
Banús Paradell, Núria (Data 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 (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 ...
Agarwal, Richa (Data 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 ...
Redes neuronales convolucionales (5)