Departament d'Arquitectura i Tecnologia de Computadors: Enviaments recents
Ara mostrant els elements 6-25 de 73
Underwater image-based 3D reconstruction with quality estimation
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 ...
Deep learning for atrophy quantification in brain magnetic resonance imaging
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. ...
Co-creación adaptativa de material educativo para estudiantes con altas capacidades
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, ...
Automatic segmentation of brain structures in magnetic resonance images using deep learning techniques
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 ...
Computer aided detection for breast lesion in ultrasound and mammography
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 methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images
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 ...
Online 3D view planning for autonomous underwater exploration
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 ...
Framework para la educación patrimonial apoyada en realidad aumentada
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 ...
Advanced underwater vehicle manipulation through real-time motion planning
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 ...
Automated brain structure segmentation in magnetic resonance images of multiple sclerosis patients
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 ...
Technology-based process for suporting university students with ADHD
In this thesis, the Adaptative Hypermedia Systems (AHS) are used to generate e-Learning processes that consider the characteristics of university students who suffer from Attention Deficit Hyperactivity Disorder (ADHD). ...
Motion annotation in complex video datasets
Motion segmentation refers to the process of separating regions and trajectories from a video sequence into coherent subsets of space and time. In this thesis, we created a new multifaceted motion segmentation dataset ...
Word-processing-based routing for Cayley graphs
This Thesis focuses on the problem of generic routing in Cayley Graphs(CGs). These graphs are a geometric representation of algebraic groups and have been used as topologies of a wide variety of communication networks. ...
Validation of availability and policy based management for programmable networks
SDN is a network technology that separates control functions and the data plane. This separation allows flexibility in the management and use of network resources because the software is specialized in controlling the ...
Geographical interdependent robustness measures in transportation networks
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 ...
3D underwater SLAM using sonar and laser sensors
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 ...
Online acoustic localization methods for autonomous underwater vehicles
Autonomous Underwater Vehicles (AUVs) true autonomy capabilities in complex unknown environments, have not yet been fully achieved because of the lack of online algorithms that can solve fundamental problems such as ...
Underwater navigation and mapping with an omnidirecional optical sensor
Omnidirectional vision has received increasing interest during the last decade from the computer vision community. However, the use of omnidirectional cameras underwater is still very limited. In this thesis we propose ...
Tracing the creation and evaluation of accessible Open Educational Resources through learning analytics
The adoption of Open Educational Resources (OER) has been continuously growing and with it the need to addressing the diversity of students’ learning needs. Because of that, OER should meet with characteristics such as the ...
Case-level detection of mammographic masses
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 ...
