Diego Armando Cardona Cárdenas
Orcid: 0000-0002-8846-5202
According to our database1,
Diego Armando Cardona Cárdenas
authored at least 13 papers
between 2013 and 2024.
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Bibliography
2024
Exploring the limitations of blood pressure estimation using the photoplethysmography signal.
CoRR, 2024
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, San Diego, 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
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