Diego Armando Cardona Cárdenas

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 12

Top Topics

Convolutional Neural Networks

Machine Learning

Top Venues

Medical Imaging: Computer-Aided Diagnosis

J. Comput. Appl. Math.

Publications

Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo A. F. Toledo, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez
Exploring the limitations of blood pressure estimation using the photoplethysmography signal. CoRR (2024)
Filipe A. C. Oliveira, Felipe M. Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Douglas A. Almeida, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features. CoRR (2023)
Felipe M. Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Douglas A. Almeida, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices. CoRR (2023)
Thiago Bulhões da Silva Costa, Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco Antonio Gutierrez
Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment. IEEE Access 11 (2023)
Douglas A. Almeida, Felipe M. Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals. CoRR (2023)
Felipe M. Dias, Thiago Bulhoes, Diego Armando Cardona Cárdenas, Marcelo Toledo, José Eduardo Krieger, Marco A. Gutierrez
A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal. CinC (2022)
Karem Daiane Marcomini, Diego Armando Cardona Cárdenas, Agma Juci Machado Traina, José Eduardo Krieger, Marco Antonio Gutierrez
A deep learning approach for COVID-19 screening and localization on chest x-ray images. Medical Imaging: Computer-Aided Diagnosis (2022)
Melody Alsaker, Diego Armando Cardona Cárdenas, Sérgio Shiguemi Furuie, Jennifer L. Mueller
Complementary use of priors for pulmonary imaging with electrical impedance and ultrasound computed tomography. J. Comput. Appl. Math. 395 (2021)
José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez
Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes. J. Digit. Imaging 34 (2) (2021)
José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez
A general fully automated deep-learning method to detect cardiomegaly in chest x-rays. Medical Imaging: Computer-Aided Diagnosis (2021)
Diego Armando Cardona Cárdenas, José Raniery Ferreira Jr., Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco A. Gutierrez
Automated radiographic bone suppression with deep convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
José Raniery Ferreira, Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez
Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images. EMBC (2020)
Matheus Cardoso Moraes, Diego Armando Cardona Cárdenas, Sérgio Shiguemi Furuie
Automatic Stent Segmentation in IOCT images Using Combined Feature Extraction Techniques and Mathematical Morphology. CinC (2013)