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ORCIDDiego Armando Cardona Cárdenas
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2020 – today
- 2024
[i4]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 abs/2404.16049 (2024)- 2023
- [j3]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: 57934-57950 (2023) - [i3]Felipe Meneguitti 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 abs/2307.08766 (2023) - [i2]Filipe A. C. Oliveira, Felipe Meneguitti 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 abs/2308.01930 (2023) - [i1]Douglas A. Almeida, Felipe Meneguitti 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 abs/2308.05759 (2023) - 2022
- [c6]Felipe Meneguitti Dias, Thiago Bulhões da Silva Costa, 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: 1-4 - [c5]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 - 2021
- [j2]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: 113591 (2021) - [j1]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): 297-307 (2021) - [c4]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 - [c3]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 - 2020
- [c2]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: 1238-1241
2010 – 2019
- 2013
- [c1]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: 1215-1218
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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