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 ...

    Glandular tissue pattern analysis through multimodal MRI-mammography registration 

    García Marcos, Eloy (Date of defense: 2018-04-05)

    Breast cancer is the most common cancer among women worldwide. Several studies have shown that the combination of the different medical image modalities, such as the x-ray mammography and the magnetic resonance imaging ...

    Simultaneous localization and mapping using single cluster probability hypothesis density filters 

    Lee, Chee Sing (Date of defense: 2015-09-01)

    The majority of research in feature-based SLAM builds on the legacy of foundational work using the EKF, a single-object estimation technique. Because feature-based SLAM is an inherently multi-object problem, this has led ...