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 ...

    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 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). ...

    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 ...

    Underwater 3d sensing using structured light: development of an underwater laser scanner and a non-rigid point cloud registration method 

    Castillón Sánchez, Miguel (Date of defense: 2023-02-10)

    Accurate underwater 3D perception is essential to advance towards the automation of expensive, dangerous and/or time-consuming tasks, such as the inspection, maintenance and repair of off-shore industrial sites. Accurate ...

    Underwater image-based 3D reconstruction with quality estimation 

    Istenič, Klemen (Date of defense: 2021-03-25)

    This thesis addresses the development of resources for accurate scaling and uncertainty estimation of image-based 3D models for scientific purposes based on data acquired with monocular or unsynchronized camera systems in ...

    Web-based application for medical imaging management 

    Mata Miquel, Christian (Date of defense: 2015-07-24)

    Prostate and breast cancer are the most common cause of cancers in men and women, respectively. Medical imaging plays an important role in breast and prostate cancer detection and evaluation. Then to prove that our web-based ...