4 citations · 6 across the 4 of their papers we have counts for
2 papers
eess.SP2024
Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications
Joseph A. P. Quino, Diego A. C. Cardenas, Marcelo A. F. Toledo +4
Accurate sleep stage classification is crucial for diagnosing sleep disorders and evaluating sleep quality. While polysomnography (PSG) remains the gold standard, photoplethysmogra…
eess.IV2021★ 4 cited
A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI
Marcelo Toledo, Daniel Lima, José Krieger +1
CNN (Convolutional Neural Network) models have been successfully used for segmentation of the left ventricle (LV) in cardiac MRI (Magnetic Resonance Imaging), providing clinical me…