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Debora Gil, Katerine Diaz, Carles Sanchez, & Aura Hernandez-Sabate. (2020). "Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images ".
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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J.L.Bruguera, R.Casado, M.Martinez, I.Corral, Enric Marti, & L.A.Branda. (2009)." El apoyo institucional como elemento favorecedor de la coordinación docente: experiencias en diferentes universidades" .
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Carles Sanchez, Oriol Ramos Terrades, Patricia Marquez, Enric Marti, Jaume Rocarias, & Debora Gil. (2014). "Evaluación automática de prácticas en Moodle para el aprendizaje autónomo en Ingenierías ".
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Enric Marti, Debora Gil, & Carme Julia. (2008)." Experiencia d aplicació de la metodología d aprenentatge per proyectes en assignatures d Enginyeria Informàtica per a una millor adaptació als crèdits ECTS i EEES" (IDES-UAB, & E. A. M.Enric Martinez, Eds.) (Vol. 1). UAB.
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Enric Marti, Petia Radeva, Ricardo Toledo, & Jordi Vitria. (2005)." Experiencia de aplicación de la metodología de aprendizaje por proyectos en asignaturas de Ingeniería Informática para una mejor adaptación a los créditos ECTS i al Espacio Europeo de Educación Superior" .
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Petia Radeva, & Enric Marti. (1995). "Facial Features Segmentation by Model-Based Snakes. ".
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G.Estape, & Enric Marti. (2008)." L’ús d’aplicacions de visualització 3D com a eina d’aprenenetatge en activitats formatives dirigides i autònomes: el cas del programa Bluestar" .
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Fernando Vilariño, & Enric Marti. (2008)." New didactic techniques in the EHES applying mobile technologies" .
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Enric Marti, Carme Julia, & Debora Gil. (2007)." PBL en la docencia de gráficos por computador" (Vol. 1). Valladolid.
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Enric Marti. (2008)." Project Based Learning in engineering" . Lleida.
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