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Author Debora Gil; Katerine Diaz; Carles Sanchez; Aura Hernandez-Sabate edit   pdf
url  openurl
  Title Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images Type Miscellaneous
  Year 2020 Publication Arxiv Abbreviated Journal  
  Volume Issue Pages  
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  Abstract Future SARS-CoV-2 virus outbreak COVID-XX might possibly occur during the next years. However the pathology in humans is so recent that many clinical aspects, like early detection of complications, side effects after recovery or early screening, are currently unknown. In spite of the number of cases of COVID-19, its rapid spread putting many sanitary systems in the edge of collapse has hindered proper collection and analysis of the data related to COVID-19 clinical aspects. We describe an interdisciplinary initiative that integrates clinical research, with image diagnostics and the use of new technologies such as artificial intelligence and radiomics with the aim of clarifying some of SARS-CoV-2 open questions. The whole initiative addresses 3 main points: 1) collection of standardize data including images, clinical data and analytics; 2) COVID-19 screening for its early diagnosis at primary care centers; 3) define radiomic signatures of COVID-19 evolution and associated pathologies for the early treatment of complications. In particular, in this paper we present a general overview of the project, the experimental design and first results of X-ray COVID-19 detection using a classic approach based on HoG and feature selection. Our experiments include a comparison to some recent methods for COVID-19 screening in X-Ray and an exploratory analysis of the feasibility of X-Ray COVID-19 screening. Results show that classic approaches can outperform deep-learning methods in this experimental setting, indicate the feasibility of early COVID-19 screening and that non-COVID infiltration is the group of patients most similar to COVID-19 in terms of radiological description of X-ray. Therefore, an efficient COVID-19 screening should be complemented with other clinical data to better discriminate these cases.  
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  Notes IAM; 600.139; 600.145; 601.337 Approved no  
  Call Number Admin @ si @ GDS2020 Serial 3474  
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Author Oriol Ramos Terrades; Albert Berenguel; Debora Gil edit   pdf
url  openurl
  Title A flexible outlier detector based on a topology given by graph communities Type Miscellaneous
  Year 2020 Publication Arxiv Abbreviated Journal  
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  Abstract Outlier, or anomaly, detection is essential for optimal performance of machine learning methods and statistical predictive models. It is not just a technical step in a data cleaning process but a key topic in many fields such as fraudulent document detection, in medical applications and assisted diagnosis systems or detecting security threats. In contrast to population-based methods, neighborhood based local approaches are simple flexible methods that have the potential to perform well in small sample size unbalanced problems. However, a main concern of local approaches is the impact that the computation of each sample neighborhood has on the method performance. Most approaches use a distance in the feature space to define a single neighborhood that requires careful selection of several parameters. This work presents a local approach based on a local measure of the heterogeneity of sample labels in the feature space considered as a topological manifold. Topology is computed using the communities of a weighted graph codifying mutual nearest neighbors in the feature space. This way, we provide with a set of multiple neighborhoods able to describe the structure of complex spaces without parameter fine tuning. The extensive experiments on real-world data sets show that our approach overall outperforms, both, local and global strategies in multi and single view settings.  
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  Notes IAM; DAG; 600.139; 600.145; 600.140; 600.121 Approved no  
  Call Number Admin @ si @ RBG2020 Serial 3475  
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Author Enric Marti; Jaume Rocarias; Ricardo Toledo edit  url
openurl 
  Title Caronte: gestión flexible de grupos de alumnos en asignaturas de universidad y actividades sobre estos grupos Type Miscellaneous
  Year 2008 Publication Nueva actividad de control, MoodleMoot 2008 Abbreviated Journal  
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  Corporate Author Thesis  
  Publisher Place of Publication Barcelona Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes IAM;RV;ADAS Approved no  
  Call Number IAM @ iam @ MRT2008b Serial 1618  
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Author Enric Marti; Ferran Poveda; Antoni Gurgui; Debora Gil edit   pdf
url  isbn
openurl 
  Title Aprendizaje Basado en Proyectos en Ingeniería Informática. Resultados y reflexiones de seis años de experiencia Type Miscellaneous
  Year 2011 Publication Actas del Simposio-Taller JENUI 2011 Abbreviated Journal  
  Volume Issue Pages 1-8  
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  Abstract In this workshop a 6 years experience in Project Based Learning (PBL) in Computer Graphics, Computer Engineering course at the Autonomous University of Barcelona (UAB) is presented. We use a Moodle environment suited to manage the documentation generated in PBL. The course is organized by means of two alternative routes: a classic itinerary of lectures and test-based evaluation and another with PBL. In the PBL itinerary we explain the organization in teamgroups, homework tutoring and monitoring and evaluation guidelines for students. We provide some of the work done by students, and the results of assessment surveys carried out to students during these years. We report the evolution of our PBL itinerary in terms of, both, organization and student surveys.
The workshop aims at discussing about on the advantages and disadvantages of using these active methodologies in technical degrees such as computer engineering, in order to debate about the most suitable way of organizing PBL and assessing students learning rate.
 
  Address Sevilla, Spain  
  Corporate Author Thesis  
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  Language spanish Summary Language Original Title  
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  ISSN ISBN 978-84-694-5440-4 Medium  
  Area Expedition Conference JENUI  
  Notes IAM Approved no  
  Call Number IAM @ iam @ MPG2011 Serial 1584  
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Author Albert Andaluz; Francesc Carreras; Debora Gil; Jaume Garcia edit   pdf
url  openurl
  Title Una aplicació amigable pel càlcul de indicadors clínics del ventricle esquerre Type Miscellaneous
  Year 2010 Publication Forum Biocat 2010 Abbreviated Journal  
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  Address Lonja de Mar,Barcelona (Spain)  
  Corporate Author CVC Thesis  
  Publisher Biocat Place of Publication Barcelona Editor  
  Language Catalan Summary Language Original Title  
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  Area Expedition Conference  
  Notes IAM Approved no  
  Call Number IAM @ iam @ ACG2010 Serial 1483  
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Author Juan Borrego-Carazo; Carles Sanchez; David Castells; Jordi Carrabina; Debora Gil edit  doi
openurl 
  Title BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy pose estimation Type Miscellaneous
  Year 2022 Publication Arxiv Abbreviated Journal  
  Volume Issue Pages  
  Keywords Videobronchoscopy guiding; Deep learning; Architecture optimization; Datasets; Standardized evaluation framework; Pose estimation  
  Abstract Vision-based bronchoscopy (VB) models require the registration of the virtual lung model with the frames from the video bronchoscopy to provide effective guidance during the biopsy. The registration can be achieved by either tracking the position and orientation of the bronchoscopy camera or by calibrating its deviation from the pose (position and orientation) simulated in the virtual lung model. Recent advances in neural networks and temporal image processing have provided new opportunities for guided bronchoscopy. However, such progress has been hindered by the lack of comparative experimental conditions.
In the present paper, we share a novel synthetic dataset allowing for a fair comparison of methods. Moreover, this paper investigates several neural network architectures for the learning of temporal information at different levels of subject personalization. In order to improve orientation measurement, we also present a standardized comparison framework and a novel metric for camera orientation learning. Results on the dataset show that the proposed metric and architectures, as well as the standardized conditions, provide notable improvements to current state-of-the-art camera pose estimation in video bronchoscopy.
 
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  Notes IAM; Approved no  
  Call Number Admin @ si @ Serial 3702  
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Author Petia Radeva; Enric Marti edit   pdf
openurl 
  Title Facial Features Segmentation by Model-Based Snakes. Type Miscellaneous
  Year 1995 Publication Trobada de Joves Investigadors, IIIA. Abbreviated Journal  
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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 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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  Notes IAM;ADAS; Approved no  
  Call Number IAM @ iam @ MGJ2006b Serial 931  
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Author Agata Lapedriza; Jaume Garcia; Ernest Valveny; Robert Benavente; Miquel Ferrer; Gemma Sanchez edit  openurl
  Title Una experiencia de aprenentatge basada en projectes en el ambit de la informatica Type Miscellaneous
  Year 2008 Publication V Jornades d’Innovacio Docent (UAB) Abbreviated Journal  
  Volume Issue Pages 63  
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  Address Bellaterra (Spain)  
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  Notes OR; IAM; DAG; CIC; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ LGV2008 Serial 1030  
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Author Enric Marti; Ferran Poveda; Antoni Gurgui; Jaume Rocarias; Debora Gil; Aura Hernandez-Sabate edit   pdf
openurl 
  Title Una experiencia de estructura, funcionamiento y evaluación de la asignatura de graficos por computador con metodologia de aprendizaje basado en proyectos Type Miscellaneous
  Year 2013 Publication IV Congreso Internacional UNIVEST Abbreviated Journal  
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  Abstract IV Congreso Internacional UNIVEST  
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  Area Expedition Conference UNIVEST  
  Notes IAM; ADAS Approved no  
  Call Number Admin @ si @ MPG2013b Serial 2384  
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