• Underwater image-based 3D reconstruction with quality estimation 

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

  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 

  Bernal Moyano, Jose (Date of defense: 27-10-2020)

  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. ...
• Glandular tissue pattern analysis through multimodal MRI-mammography registration 

  García Marcos, Eloy (Date of defense: 05-04-2018)

  Breast cancer is the most common cancer among women worldwide. Several studies have shown that the combination of the different medical image modalities, such as the x-ray mammography and the magnetic resonance imaging ...
• Automated methods on magnetic resonance brain imaging in multiple sclerosis 

  Roura Pérez, Eloy (Date of defense: 01-07-2016)

  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 brain tissue segmentation of magnetic resonance images in multiple sclerosis 

  Valverde Valverde, Sergi (Date of defense: 14-06-2016)

  L'objectiu principal d'aquesta tesi és el desenvolupament d'un nou mètode de segmentació totalment automàtic capaç de mesurar amb precisió el volum cerebral en imatges de pacients d'EM amb lesions. El mètode que hem proposat ...

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