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Aurelia Bustos

AI Cancer Research Unit Medbravo

XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer


Oct 28, 2021
Aurelia Bustos, Artemio Payá, Andres Torrubia, Rodrigo Jover, Xavier Llor, Xavier Bessa, Antoni Castells, Cristina Alenda

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* 16 pages, 8 figures 

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Machine Learning for Real-World Evidence Analysis of COVID-19 Pharmacotherapy


Jul 19, 2021
Aurelia Bustos, Patricio Mas_Serrano, Mari L. Boquera, Jose M. Salinas

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* 22 pages, 7 tables, 11 figures 

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UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays


Jun 06, 2020
Germán González, Aurelia Bustos, José María Salinas, María de la Iglesia-Vaya, Joaquín Galant, Carlos Cano-Espinosa, Xavier Barber, Domingo Orozco-Beltrán, Miguel Cazorla, Antonio Pertusa

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* 17 pages, 3 figures, 3 tables 

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BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients


Jun 05, 2020
Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós, Germán González, Jose María Salinas

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PadChest: A large chest x-ray image dataset with multi-label annotated reports


Feb 07, 2019
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, Maria de la Iglesia-Vayá

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Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks


Jul 25, 2018
Aurelia Bustos, Antonio Pertusa

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* Applied Sciences, 8(7), 2018 

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