Diego Armando Cardona Cárdenas

Orcid: 0000-0002-8846-5202

According to our database1, Diego Armando Cardona Cárdenas authored at least 12 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals.
CoRR, 2023

Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features.
CoRR, 2023

Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices.
CoRR, 2023

Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment.
IEEE Access, 2023

2022
A deep learning approach for COVID-19 screening and localization on chest x-ray images.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal.
Proceedings of the Computing in Cardiology, 2022

2021
Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes.
J. Digit. Imaging, 2021

Complementary use of priors for pulmonary imaging with electrical impedance and ultrasound computed tomography.
J. Comput. Appl. Math., 2021

A general fully automated deep-learning method to detect cardiomegaly in chest x-rays.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Automated radiographic bone suppression with deep convolutional neural networks.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020
Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2013
Automatic Stent Segmentation in IOCT images Using Combined Feature Extraction Techniques and Mathematical Morphology.
Proceedings of the Computing in Cardiology, 2013


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