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 ...

    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 ...

    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, ...

    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 ...

    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 ...

    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 ...

    Deep learning for atrophy quantification in brain magnetic resonance imaging 

    Bernal Moyano, Jose (Date of defense: 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 to counteract them. ...

    Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images 

    Salem, Mostafa (Date of defense: 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 a fully automated ...

    Deep learning methods for extraction of neuroimage markers in the prognosis of brain pathologies 

    Clèrigues Garcia, Albert (Date of defense: 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 multiple sclerosis (MS). ...

    Efficient topology estimation for large scale optical mapping 

    Elibol, Armagan (Date of defense: 2011-07-29)

    Large scale image mosaicing methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical ...

    Gestión del conocimiento en la co-creación de material educativo con y para estudiantes con altas capacidades 

    Meneses Ortegón, Juan Pablo (Date of defense: 2023-06-20)

    The development of any process handles data. These data are generated from information that in turn generates knowledge. The ideal is that this knowledge provides the process with added value that allows it to improve, ...

    Image blending techniques and their application in underwater mosaicing 

    Prados Gutiérrez, Ricard (Date of defense: 2013-05-02)

    The fusion of several images of the same scene into a single and larger composite is known as photo-mosaic. Unfortunately, the seams along image boundaries are often noticeable, due to photometrical and geometrical ...

    Label space reduction in GMPLs and All-Optical Label Swapping networks 

    Solano Donado, Fernando (Date of defense: 2007-12-04)

    All-Optical Label Swapping (AOLS) es una tecnología clave para la implementación de nodos de conmutación completamente óptica de paquetes. Sin embargo, el costo de su desarrollo es proporcional al tamaño del espacio de ...

    Online 3D view planning for autonomous underwater exploration 

    Vidal Garcia, Eduard (Date of defense: 2019-11-28)

    Autonomous underwater vehicles are used nowadays in many applications. One of the applications is mapping of a particular area of the ocean. Quen the robot needs to cover the area of interest and no prior knowledge of ...

    Simultaneous detection and segmentation for generic objects 

    Torrent Palomeras, Albert (Date of defense: 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 the extraction of ...