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05/11/2022
Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features
Logo classification is a particular case of image classification, since ...
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06/06/2020
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays
In this work we present a method for the detection of radiological findi...
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06/01/2020
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
In this work we describe BIMCV-COVID-19+ dataset, a large dataset from M...
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10/26/2019
A holistic approach to polyphonic music transcription with neural networks
We present a framework based on neural networks to extract music scores ...
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01/22/2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports
We present a labeled large-scale, high resolution chest x-ray dataset fo...
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03/22/2018
Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks
Interventional cancer clinical trials are generally too restrictive and ...
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03/22/2018
Learning Eligibility in Clinical Cancer Trials using Deep Neural Networks
Interventional clinical cancer trials are generally too restrictive and ...
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06/09/2017