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 ...

    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 ...