3D underwater SLAM using sonar and laser sensors 

    Palomer Vila, Albert (Date of defense: 2018-11-26)

    This thesis presents a SLAM algorithm using a multibeam echosounder, a new 1/2 underwater laser scanner for online 3D perception and two applications of this new laser scanner: inspection and intervention. The SLAM ...

    A geometric routing scheme in word-metric spaces for data networks 

    Camelo Botero, Miguel Hernando (Date of defense: 2014-10-31)

    This research work explores the use of the Greedy Geometric Routing (GGR) schemes to solve the scalability problem of the routing systems in Internet-like networks and several families of Data Center architectures. We ...

    A mission control system for an autonomous underwater vehicle 

    Palomeras Rovira, Narcís (Date of defense: 2011-12-19)

    The presented work focuses on the theoretical and practical aspects concerning the design and development of a formal method to build a mission control system for autonomous underwater vehicles bringing systematic design ...

    Admission control schemes for TCP elastic traffic in class-based networks 

    Fàbrega i Soler, Lluís (Date of defense: 2008-07-11)

    En aquesta tesi proposem dos esquemes de xarxa amb control d'admissió per al trànsit elàstic TCP amb mecanismes senzills. Ambdós esquemes són capaços de proporcionar throughputs diferents i aïllament entre fluxos, on un ...

    Advanced underwater vehicle manipulation through real-time motion planning 

    Youakim Isaac, Dina Nagui (Date of defense: 2019-06-21)

    A key challenge in autonomous mobile manipulation is the ability to determine in real-time how to safely execute complex tasks when placed in an unknown world. In response to those arising needs in the underwater ...

    Appearance-based mapping and localization using feature stability histograms for mobile robot navigation 

    Bacca Cortés, Eval Bladimir (Date of defense: 2012-06-20)

    This work proposes an appearance-based SLAM method whose main contribution is the Feature Stability Histogram (FSH). The FSH is built using a voting schema, if the feature is re-observed, it will be promoted; otherwise it ...

    An approach to melanoma classification exploiting polarization information 

    Rastgoo, Mojdeh (Date of defense: 2016-06-13)

    Malignant melanoma is the deadliest of skin cancers and causes the majority of deaths in comparison to other skin-related malignancies. Yet it is the most treatable type of cancer, thanks to its early diagnosis. Subsequently, ...

    Atlas-based segmentation of multiple sclerosis lesions in magnetic resonance imaging 

    Cabezas Grebol, Mariano (Date of defense: 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 modality. After a ...

    Automated 3D object recognition in underwater scenarios for manipulation 

    Himri, Khadidja (Date of defense: 2021-12-10)

    In recent decades, the rapid development of intelligent vehicle and 3D scanning tecnologies has led to a growing interest in applications based on 3D point data processing, with many applications such as augmented reality ...

    Automated brain structure segmentation in magnetic resonance images of multiple sclerosis patients 

    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, which affect the ...

    Automated detection of new multiple sclerosis lesions in longitudinal brain magnetic resonance imaging 

    Ganiler, Onur (Date of defense: 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, predominantly in the ...

    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 ...

    Automated underwater object classification using optical imagery 

    Shihavuddin, A.S.M. (Date of defense: 2014-03-28)

    This thesis addresses the problem of automated underwater optical image characterization. Remote underwater optical sensing allows the collection and storage of vast amounts of data for which manual classification may take ...

    Automatic change detection in multiple pigmented skin lesions 

    Korotkov, Konstantin (Date of defense: 2014-07-08)

    Malignant melanoma is the rarest and deadliest of skin cancers causing three times more deaths than all other skin-related malignancies combined. Fortunately, in its early stages, it is completely curable, making a total ...

    Automatic segmentation of brain structures in magnetic resonance images using deep learning techniques 

    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 combines convolutional ...

    Automatic source detection in astronomical images 

    Masias Moyset, Marc (Date of defense: 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 inefficiency and ...

    Case-level detection of mammographic masses 

    Tortajada Giménez, Meritxell (Date of defense: 2017-07-17)

    This thesis is focused on the automatic detection of masses in FFDM images by using case-level information which includes bilateral, temporal and/or ipsilateral information. As a first step, FFDM images are preprocessed ...

    Clinical decision support for screening, diagnosis and assessment of respiratory diseases: chronic obstructive pulmonary disease as a use case 

    Velickovski, Filip (Date of defense: 2016-10-06)

    In this thesis we propose a framework for designing, developing, a clinical decision support systems (CDSS) offering a suite of services for the early detection and assessment of chronic obstructive pulmonary disease (COPD), ...

    Co-creación adaptativa de material educativo para estudiantes con altas capacidades 

    Uribe-Rios, Mery Yolima (Date of defense: 2020-12-03)

    Generally, High Ability or Gifted individuals show spontaneous and natural performance in one or more domains. Thus, a High Ability student is creative, 2/2 curious and motivated to learn new things. Despite this behaviour, ...

    Computer aided detection for breast lesion in ultrasound and mammography 

    Agarwal, Richa (Date of defense: 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 robust application ...