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06/11/2022
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review
There is a necessity to develop affordable, and reliable diagnostic tool...
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11/16/2021
Automatic Semantic Segmentation of the Lumbar Spine. Clinical Applicability in a Multi-parametric and Multi-centre MRI study
One of the major difficulties in medical image segmentation is the high ...
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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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01/22/2019
