Marcelo Toledo

According to our database, Marcelo Toledo authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Non-invasive Blood Glucose Estimation: an Approach Using Multi-Wavelength PPG Signals and Residual Neural Networks.

Filipe A. C. Oliveira, Felipe Meneguitti Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Estela Ribeiro, Ramon Alfredo Moreno, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

Enhancing Photoplethysmography-Based Sleep Staging Models Through Temporal Context Optimization.

Joseph A. P. Quino, Diego Armando Cardona Cárdenas, Marcelo A. F. Toledo, Felipe Meneguitti Dias, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

2024

Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications.

Joseph A. P. Quino, Diego Armando Cardona Cárdenas, Marcelo A. F. Toledo, Felipe Meneguitti Dias, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez

CoRR, 2024

Exploring the limitations of blood pressure estimation using the photoplethysmography signal.

Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo A. F. Toledo, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez

CoRR, 2024

2023

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

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

CoRR, 2023

Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features.

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

CoRR, 2023

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

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

CoRR, 2023

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

Thiago Bulhões da Silva Costa, Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco Antonio Gutierrez

IEEE Access, 2023

Automatic segmentation of stroke lesions in T1-weighted magnetic resonance images with convolutional neural networks.

Aldir Sousa, Marcelo Toledo, José Eduardo Krieger, Marco Antonio Gutierrez

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal.

Felipe Meneguitti Dias, Thiago Bulhões da Silva Costa, Diego Armando Cardona Cárdenas, Marcelo Toledo, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the Computing in Cardiology, 2022

2021

Study of CNN Capacity Applied to Left Ventricle Segmentation in Cardiac MRI.

Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco A. Gutierrez

SN Comput. Sci., 2021

A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI.

Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco A. Gutierrez

CoRR, 2021