Aurelia Bustos

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 7

Top Topics

Convolutional Neural Network

Machine Learning

Colorectal Cancer

Top Venues

Medical Image Anal.

Publications

Aurelia Bustos, Artemio Payá, Andres Torrubia, Rodrigo Jover, Xavier Llor, Xavier Bessa, Antoni Castells, Cristina Alenda
XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer. CoRR (2021)
Aurelia Bustos, Patricio Mas-Serrano, Mari L. Boquera, José María Salinas
Machine Learning for Real-World Evidence Analysis of COVID-19 Pharmacotherapy. CoRR (2021)
Aurelia Bustos, Antonio Pertusa, José María Salinas, María de la Iglesia-Vayá
PadChest: A large chest x-ray image dataset with multi-label annotated reports. Medical Image Anal. 66 (2020)
Germán González, Aurelia Bustos, José María Salinas, María de la Iglesia-Vayá, Joaquin Galant, Carlos Cano-Espinosa, Xavier Barber, Domingo Orozco-Beltrán, Miguel Cazorla, Antonio Pertusa
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays. CoRR (2020)
María de la Iglesia-Vayá, José 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, José María Salinas
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. CoRR (2020)
Aurelia Bustos, Antonio Pertusa, José María Salinas, María de la Iglesia-Vayá
PadChest: A large chest x-ray image dataset with multi-label annotated reports. CoRR (2019)
Aurelia Bustos, Antonio Pertusa
Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks. CoRR (2018)