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Antonio Pertusa

Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study

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Jan 18, 2024
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Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features

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May 11, 2022
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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

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Jun 06, 2020
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BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

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Jun 05, 2020
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A holistic approach to polyphonic music transcription with neural networks

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Oct 26, 2019
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PadChest: A large chest x-ray image dataset with multi-label annotated reports

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Feb 07, 2019
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Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks

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Jul 25, 2018
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MirBot: A collaborative object recognition system for smartphones using convolutional neural networks

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Mar 24, 2018
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