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Author Saad Minhas; Zeba Khanam; Shoaib Ehsan; Klaus McDonald Maier; Aura Hernandez-Sabate edit  doi
openurl 
  Title Weather Classification by Utilizing Synthetic Data Type (up) Journal Article
  Year 2022 Publication Sensors Abbreviated Journal SENS  
  Volume 22 Issue 9 Pages 3193  
  Keywords Weather classification; synthetic data; dataset; autonomous car; computer vision; advanced driver assistance systems; deep learning; intelligent transportation systems  
  Abstract Weather prediction from real-world images can be termed a complex task when targeting classification using neural networks. Moreover, the number of images throughout the available datasets can contain a huge amount of variance when comparing locations with the weather those images are representing. In this article, the capabilities of a custom built driver simulator are explored specifically to simulate a wide range of weather conditions. Moreover, the performance of a new synthetic dataset generated by the above simulator is also assessed. The results indicate that the use of synthetic datasets in conjunction with real-world datasets can increase the training efficiency of the CNNs by as much as 74%. The article paves a way forward to tackle the persistent problem of bias in vision-based datasets.  
  Address 21 April 2022  
  Corporate Author Thesis  
  Publisher MDPI Place of Publication Editor  
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  Notes IAM; 600.139; 600.159; 600.166; 600.145; Approved no  
  Call Number Admin @ si @ MKE2022 Serial 3761  
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Author Guillermo Torres; Debora Gil; Antoni Rosell; S. Mena; Carles Sanchez edit  openurl
  Title Virtual Radiomics Biopsy for the Histological Diagnosis of Pulmonary Nodules – Intermediate Results of the RadioLung Project Type (up) Journal Article
  Year 2023 Publication International Journal of Computer Assisted Radiology and Surgery Abbreviated Journal IJCARS  
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  Notes IAM Approved no  
  Call Number Admin @ si @ TGM2023 Serial 3830  
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Author Juan Borrego-Carazo; Carles Sanchez; David Castells; Jordi Carrabina; Debora Gil edit  openurl
  Title A benchmark for the evaluation of computational methods for bronchoscopic navigation Type (up) Journal Article
  Year 2022 Publication International Journal of Computer Assisted Radiology and Surgery Abbreviated Journal IJCARS  
  Volume 17 Issue 1 Pages  
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  Notes IAM Approved no  
  Call Number Admin @ si @ BSC2022 Serial 3832  
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Author Antoni Rosell; Sonia Baeza; S. Garcia-Reina; JL. Mate; Ignasi Guasch; I. Nogueira; I. Garcia-Olive; Guillermo Torres; Carles Sanchez; Debora Gil edit  url
openurl 
  Title EP01.05-001 Radiomics to Increase the Effectiveness of Lung Cancer Screening Programs. Radiolung Preliminary Results Type (up) Journal Article
  Year 2022 Publication Journal of Thoracic Oncology Abbreviated Journal JTO  
  Volume 17 Issue 9 Pages S182  
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  Notes IAM Approved no  
  Call Number Admin @ si @ RBG2022b Serial 3834  
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Author Antoni Rosell; Sonia Baeza; S. Garcia-Reina; JL. Mate; Ignasi Guasch; I. Nogueira; I. Garcia-Olive; Guillermo Torres; Carles Sanchez; Debora Gil edit  openurl
  Title Radiomics to increase the effectiveness of lung cancer screening programs. Radiolung preliminary results. Type (up) Journal Article
  Year 2022 Publication European Respiratory Journal Abbreviated Journal ERJ  
  Volume 60 Issue 66 Pages  
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  Notes IAM Approved no  
  Call Number Admin @ si @ RBG2022c Serial 3835  
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Author Jose Elias Yauri; M. Lagos; H. Vega-Huerta; P. de-la-Cruz; G.L.E Maquen-Niño; E. Condor-Tinoco edit  doi
openurl 
  Title Detection of Epileptic Seizures Based-on Channel Fusion and Transformer Network in EEG Recordings Type (up) Journal Article
  Year 2023 Publication International Journal of Advanced Computer Science and Applications Abbreviated Journal IJACSA  
  Volume 14 Issue 5 Pages 1067-1074  
  Keywords Epilepsy; epilepsy detection; EEG; EEG channel fusion; convolutional neural network; self-attention  
  Abstract According to the World Health Organization, epilepsy affects more than 50 million people in the world, and specifically, 80% of them live in developing countries. Therefore, epilepsy has become among the major public issue for many governments and deserves to be engaged. Epilepsy is characterized by uncontrollable seizures in the subject due to a sudden abnormal functionality of the brain. Recurrence of epilepsy attacks change people’s lives and interferes with their daily activities. Although epilepsy has no cure, it could be mitigated with an appropriated diagnosis and medication. Usually, epilepsy diagnosis is based on the analysis of an electroencephalogram (EEG) of the patient. However, the process of searching for seizure patterns in a multichannel EEG recording is a visual demanding and time consuming task, even for experienced neurologists. Despite the recent progress in automatic recognition of epilepsy, the multichannel nature of EEG recordings still challenges current methods. In this work, a new method to detect epilepsy in multichannel EEG recordings is proposed. First, the method uses convolutions to perform channel fusion, and next, a self-attention network extracts temporal features to classify between interictal and ictal epilepsy states. The method was validated in the public CHB-MIT dataset using the k-fold cross-validation and achieved 99.74% of specificity and 99.15% of sensitivity, surpassing current approaches.  
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  Notes IAM Approved no  
  Call Number Admin @ si @ Serial 3856  
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Author Sonia Baeza; Debora Gil; Ignasi Garcia Olive; Maite Salcedo Pujantell; Jordi Deportos; Carles Sanchez; Guillermo Torres; Gloria Moragas; Antoni Rosell edit  url
doi  openurl
  Title Correction: A novel intelligent radiomic analysis of perfusion SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients Type (up) Journal Article
  Year 2023 Publication European Journal of Nuclear Medicine and Molecular Imaging Abbreviated Journal EJNMMI PHYSICS  
  Volume 10 Issue 1 Pages 13  
  Keywords early diagnosis; Lung Cancer; nodule diagnosis; nodule diagnosis; Radiomics; Screening  
  Abstract This study shows the generation process and the subsequent study of the representation space obtained by extracting GLCM texture features from computer-aided tomography (CT) scans of pulmonary nodules (PN). For this, data from 92 patients from the Germans Trias i Pujol University Hospital were used. The workflow focuses on feature extraction using Pyradiomics and the VGG16 Convolutional Neural Network (CNN). The aim of the study is to assess whether the data obtained have a positive impact on the diagnosis of lung cancer (LC). To design a machine learning (ML) model training method that allows generalization, we train SVM and neural network (NN) models, evaluating diagnosis performance using metrics defined at slice and nodule level.  
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  Notes IAM Approved no  
  Call Number BGG2023 Serial 3858  
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Author Albert Andaluz edit   pdf
url  openurl
  Title Harmonic Phase Flow: User's guide Type (up) Manual
  Year 2012 Publication CVC Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract HPF is a plugin for the computation of clinical scores under Osirix.
This manual provides a basic guide for experienced clinical staff. Chapter 1 provides the theoretical background in which this plugin is based.
Next, in chapter 2 we provide basic instructions for installing and uninstalling this plugin. chapter 3we shows a step-by-step scenario to compute clinical scores from tagged-MRI images with HPF. Finally, in chapter 4 we provide a quick guide for plugin developers
 
  Address Bellaterra, Barcelona (Spain)  
  Corporate Author Computer Vision Center Thesis  
  Publisher CVC Place of Publication Barcelona Editor  
  Language english Summary Language english Original Title  
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  Notes IAM Approved no  
  Call Number IAM @ iam @ And2012 Serial 1863  
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Author Petia Radeva; Enric Marti edit   pdf
openurl 
  Title Facial Features Segmentation by Model-Based Snakes. Type (up) Miscellaneous
  Year 1995 Publication Trobada de Joves Investigadors, IIIA. Abbreviated Journal  
  Volume Issue Pages  
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  Address Bellaterra (Barcelona), Spain  
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  Notes MILAB; IAM Approved no  
  Call Number BCNPCL @ bcnpcl @ RaM1995a Serial 130  
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Author Enric Marti; Debora Gil; Carme Julia edit  openurl
  Title Una experiencia de PBL en la docencia de la asignatura de Graficos por Computador en Ingenieria Informatica Type (up) Miscellaneous
  Year 2006 Publication IV Contreso Internacional de Docencia Universitaria e Innovacion Abbreviated Journal  
  Volume 1 Issue Pages 375  
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  Address Barcelona (Spain)  
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  Area Expedition Conference  
  Notes IAM;ADAS; Approved no  
  Call Number IAM @ iam @ MGJ2006b Serial 931  
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