research
∙
10/28/2021
XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer
We present a system for the prediction of microsatellite instability (MS...
share
research
∙
07/19/2021
Machine Learning for Real-World Evidence Analysis of COVID-19 Pharmacotherapy
Introduction: Real-world data generated from clinical practice can be us...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/22/2018
Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks
Interventional cancer clinical trials are generally too restrictive and ...
research
∙
03/22/2018