Now showing items 17-36 of 73

    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 ...

    Computer vision techniques for early detection of skin cancer 

    Quintana Plana, Josep (Date of defense: 2012-06-14)

    This thesis investigates the problem of developing new computer vision techniques for early detection of skin cancer. The first part of this work presents a novel methodology to correct color reproduction in dermatological ...

    Computer-aided lesion detection and segmentation on breast ultrasound 

    Pons Rodríguez, Gerard (Date of defense: 2014-01-21)

    This thesis deals with the detection, segmentation and classification of lesions on sonography. The contribution of the thesis is the development of a new Computer-Aided Diagnosis (CAD) framework capable of detecting, ...

    Coverage path planning for autonomous underwater vehicles 

    Galceran Yebenes, Enric (Date of defense: 2014-04-25)

    This thesis proposes new methods to find collision-free paths allowing an AUV to cover an area of the ocean floor with its sensors, which is known as coverage path planning. First, we propose a coverage path planning method ...

    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). ...

    Deformable object segmentation in ultra-sound images 

    Massich i Vall, Joan (Date of defense: 2013-12-04)

    This thesis analyses the current strategies to segment breast lesions in Ultra-Sound (US) data and proposes a fully automatic methodology for generating accurate segmentations of breast lesions in US data with low false ...

    Efficient 3D scene modeling and mosaicing 

    Nicosevici, Tudor (Date of defense: 2009-12-18)

    El modelat d'escenes és clau en un gran ventall d'aplicacions que van des de la generació mapes fins a la realitat augmentada. Aquesta tesis presenta una solució completa per a la creació de models 3D amb textura. En ...

    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 ...

    Enhancing the AUV long-term deployment: non-holonomic AUV autonomous docking using acoustics in a funnel-shaped docking station 

    Esteba Masjuan, Joan (Date of defense: 2023-10-19)

    Underwater robotics has undergone significant development in recent years. It has been applied to a wide range of sectors, such as the mapping of areas of interest, the collection of scientific data, or the Inspection ...

    Entorno de aprendizaje virtual adaptativo soportado por un modelo de usuario integral 

    Vélez Ramos, Jeimy Beatriz (Date of defense: 2009-11-11)

    El objetivo de esta tesis es mejorar la efectividad y eficiencia de los entornos de aprendizaje virtual. Para lograr este propósito se define un Modelo de Usuario que considera las características del usuario, el contexto ...

    Forward-looking sonar mosaicing for underwater environments 

    Hurtós Vilarnau, Natàlia (Date of defense: 2014-10-30)

    Vehicle operations in underwater environments are frequently compromised by poor visibility conditions. In this thesis, we propose an end-to-end mosaicing framework tailored to the characteristics of forward-looking sonar ...

    Framework for detection, assessment and assistance of university students with dyslexia and/or reading difficulties 

    Mejía Corredor, Carolina (Date of defense: 2013-10-14)

    During the past years, the adoption of Learning Management System (LMS) to support an e-learning process has been continuously growing. Hence, a potential need and meaningful factor to provide a personalized support, within ...

    Framework for the design and development of motivational augmented reality learning experiences in vocational education and training 

    Bacca Acosta, Jorge Luis (Date of defense: 2017-06-12)

    One of the advantages of Augmented Reality (AR) in education is that AR increases student motivation. However, there is a lack of research on guidelines to inform the design and development of motivational AR learning ...

    Framework para la educación patrimonial apoyada en realidad aumentada 

    Mendoza Garrido, Raynel Alfonso (Date of defense: 2019-10-11)

    La Educación Patrimonial es el proceso que permite a las personas comprender y apropiarse de sus bienes patrimoniales tanto tangibles como intangibles. Tradicionalmente, la Educación Patrimonial se lleva a cabo en escenarios ...

    Geographical interdependent robustness measures in transportation networks 

    Rueda Pepinosa, Diego Fernando (Date of defense: 2018-11-14)

    Most of transportation networks interacts with other to support our modern society way of life. The proper performance of interdependent networks depends on the normal operation of the networks that are interconnected. The ...