30 citations · 37 across the 4 of their papers we have counts for
4 papers
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices
Felipe M. Dias, Marcelo A. F. Toledo, Diego A. C. Cardenas +5
Photoplethysmography (PPG) is a non-invasive technology that measures changes in blood volume in the microvascular bed of tissue. It is commonly used in medical devices such as pul…
ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making
Claudio D. G. Linhares, Daniel M. Lima, Jean R. Ponciano +5
Physicians work at a very tight schedule and need decision-making support tools to help on improving and doing their work in a timely and dependable manner. Examining piles of shee…
Convolutional module for heart localization and segmentation in MRI
Daniel Lima, Catharine Graves, Marco Gutierrez +2
Magnetic resonance imaging (MRI) is a widely known medical imaging technique used to assess the heart function. Deep learning (DL) models perform several tasks in cardiac MRI (CMR)…
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…