Thesis

DOCTORAL THESIS: Computer Aided Detection for Breast Lesion in Ultrasound and Mammography

By Richa Agarwal Supervised by Dr. Robert Martí Marly  /  Dr. Oliver Fernando Diaz Montesdeoca   / Dr. Xavier Lladó Bardera     Abstract 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…

DOCTORAL THESIS: Automated brain structure segmentation in magnetic resonance images of multiple sclerosis patients.

By Sandra González Villà Supervised by Dr. Xavier Lladó Bardera  / Dr.  Arnau Oliver Malagelada   Abstract This thesis is focused on the automated segmentation of the brain structures in magnetic resonance images, applied to multiple sclerosis (MS) patients. This disease is characterized by the presence of demyelinating lesions in…

DOCTORAL THESIS: Online Acoustic Localization Methods for Autonomous Underwater Vehicles

By Guillem Vallicrosa Massaguer Supervised by Dr. Pere Ridao   Abstract Autonomous Underwater Vehicles (AUVs) true autonomy capabilities in complex poten-tially unknown environments, have not yet been fully achieved because of the lack of online algorithms that can solve fundamental problems such as localization, mapping and path-planning on-board the AUV…

DOCTORAL THESIS: Underwater Navigation and Mapping with an Omnidirectional Optical Sensor

Underwater Navigation and Mapping with an Omnidirectional Optical Sensor By Josep Bosch Alay Supervised by Dr. Nuno Gràcias / Dr. Pere Ridao Abstract Omnidirectional vision has received increasing interest during the last decade from the computer vision community. A large number of camera models have reached the market to meet...

DOCTORAL THESIS: Glandular Tissue Pattern Analysis Through Multimodal MRI-Mammography Registration

Glandular Tissue Pattern Analysis Through Multimodal MRI-Mammography Registration By Eloy García Marcos Supervised by Dr. Joan Martí Bonmatí / Dr. Arnau Oliver Malagelada Abstract Breast cancer is the most common cancer in women worldwide. Current statistics show that one in eight women will develop this disease over the course of...