Ara es mostren els items 21-34 de 34

    • Image segmentation for cervical cancer detection 

      Oliveras Tous, Anna (Universitat Politècnica de Catalunya, 2022-07-04)
      Treball Final de Grau
      Accés restringit per acord de confidencialitat
    • Joint FE-DNN modelling for TMS-induced EMG activations 

      Martínez Gost, Marc (Universitat Politècnica de Catalunya, 2019-06)
      Treball Final de Grau
      Accés obert
      Considering the vast amount of degrees of freedom that the Central Nervous System holds, synergies, understood as building blocks led by the linear combination of multiple muscles, a novel hypothesis to understand the ...
    • Looking for neuroimaging biomarkers in Huntington Disease 

      Padilla Carrasco, Daniel (Universitat Politècnica de Catalunya, 2015-04-30)
      Projecte Final de Màster Oficial
      Accés obert
      Aquest estudi busca investigar el paper del circuit frontoestriat com a biomarcador dels d'eficits en les funcions executives observades en la malaltia de Huntington utilitzant dos estratègies diferents (i.e. general linear ...
    • Multi-modal medical image fusion using convolutional neural networks 

      Badal Regàs, Cai (Universitat Politècnica de Catalunya, 2018-12-17)
      Treball Final de Grau
      Accés obert
      Realitzat a/amb:   Technische Universität Dresden
    • New tool for the assessment of the uterine cervix tissue in pregnant women based on ultrasound texture analysis 

      Triginer Llabrés, Laura (Universitat Politècnica de Catalunya, 2016-01)
      Treball Final de Grau
      Accés obert
      Background: Preterm delivery is the first cause of mortality in fetuses. Measuring the cervix length is used to predict the risk of a preterm delivery but it perfoms poorly as a predictive tool, so other methods are needed. ...
    • Registration of ultrasound medical images 

      García Corisco, Elisa (Universitat Politècnica de Catalunya, 2014-03-28)
      Projecte/Treball Final de Carrera
      Accés obert
      [ANGLÈS] This thesis propose a processing algorithm to elastically register two ultrasound prostate images (before and after deformation) consists of three steps: (a) preprocessing, (b) global rigid registration and (c) ...
    • Segmentation et visualisation 3D de structures anatomiques à partir d’IRM du pelvis chez des enfants 

      Tor Díez, Carlos (Universitat Politècnica de Catalunya, 2015-12-02)
      Projecte/Treball Final de Carrera
      Accés obert
      Realitzat a/amb:   École nationale supérieure des télécommunications
      In recent decades, it has insisted on improving the processes of surgery, particularly in minimize invasive procedures on the patient. This is where the medical imaging comes into its own. Among all the types of medical ...
    • Skin lesion detection from dermoscopic images using convolutional neural networks 

      Romero López, Adrià (Universitat Politècnica de Catalunya, 2017-01)
      Treball Final de Grau
      Accés obert
      Realitzat a/amb:   Florida Atlantic University
      La recién llegada de técnicas de aprendizaje automático (conocidas en inglés como "machine learning") y de aprendizaje profundo ("deep learning") aplicados al análisis de imágenes médicas ha facilitado la aparición de ...
    • SPM Toolbox para el registro y cuantificación de imágenes dinámicas PET en roedores 

      Martínez Zalacaín, Ignacio (Universitat Politècnica de Catalunya, 2016-10-25)
      Projecte/Treball Final de Carrera
      Accés obert
      Neuroimaging studies in preclinical research are an essential prerequisite for the development of drugs and biomarkers for human step. Being able to superimpose the functional and biological information provided by imaging ...
    • Statistical analysis for global tractography 

      Puig Castro, Alba (Universitat Politècnica de Catalunya / École polytechnique fédérale de Lausanne, 2013-07-31)
      Projecte/Treball Final de Carrera
      Accés obert
      Realitzat a/amb:   École polytechnique fédérale de Lausanne
      [ANGLÈS] Tractography is a promising modeling technique to satisfy the increasing need for tracing the white matter pathways within the brain in a non invasive way. Therefore, better ways for doing tractography are currently ...
    • Study of the robustness of Mean Transit Time with respect to Gain and Dynamic Range changes in ultrasound scanners 

      Guillem Fernández-Hidalgo, Alfredo (Universitat Politècnica de Catalunya, 2013-03)
      Projecte/Treball Final de Carrera
      Accés obert
      Realitzat a/amb:   Technische Universiteit Eindhoven
      [ANGLÈS] Pulmonary blood volume (PBV) has become a crucial indicator for cardiologists in order to assess the gravity of a cardiovascular disease. Indicator dilution theory has become a ?gold-standard? in order to calculate ...
    • Synthesis of prostate magnetic resonance images using generative adversarial networks 

      Guardià Olivella, Oriol (Universitat Politècnica de Catalunya, 2024-02-08)
      Projecte Final de Màster Oficial
      Accés obert
      This master's thesis delves into the realm of medical image synthesis with a particular focus on the application of StyleGAN for generating comprehensive volumetric images of the prostate. The primary objective is to ...
    • Texture-Based brain tumor segmentation in MR images 

      Rodríguez Gálvez, Borja (Universitat Politècnica de Catalunya, 2017-08-02)
      Treball Final de Grau
      Accés obert
      Realitzat a/amb:   University of California, Irvine
      In this thesis, we explored the idea of texture as a tumor segmentation approach in MR images. To deal with this, we extended the definition of the texture descriptors provided by Kovalev et al., co-occurrence matrices ...
    • Visual feature extraction to discriminate nucleolus phenotypes in fluorescence microscopy 

      Muñoz Trallero, María Pia (Universitat Politècnica de Catalunya, 2014-07-22)
      Projecte/Treball Final de Carrera
      Accés obert
      Realitzat a/amb:   Université Catholique de Louvain
      [ANGLÈS] The objective of this project was the feature extraction using image processing tools over nucleolus isolated images of eukaryotic cells to subsequently classify between normal or healthy cells and abnormal or ...