3D Correspondence and Point Projection Method for Structures Deformation Analysis. - Aurelio G. Melo; Milena F. Pinto; Leonardo de Mello Honório; Felipe Meneguitti Dias; Juliano Emir Nunes Masson (IEEE Access, 2020)

Sensors Fusion and Multidimensional Point Cloud Analysis for Electrical Power System Inspection. - Vinicius F. Vidal; Leonardo de Mello Honório; Felipe Meneguitti Dias; Milena F. Pinto; Alexandre L. Carvalho; André Luís Marques Marcato (Sensors, 2020)

2D Image-Based Atrial Fibrillation Classification. - Felipe Meneguitti Dias; Nelson Samesima; Adèle Helena Ribeiro; Ramon Alfredo Moreno; Carlos Alberto Pastore; José Eduardo Krieger; Marco A. Gutierrez 001 (CinC, 2021)

Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm. - Felipe Meneguitti Dias; Henrique L. M. Monteiro; Thales Wulfert Cabral; Rayen Naji; Michael Kuehni; Eduardo José da S. Luz (Comput. Methods Programs Biomed., 2021)

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 001 (CinC, 2022)

IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure. - Ramon Alfredo Moreno; Felipe Meneguitti Dias; Marcelo A. F. Arruda; Filipe Oliveira; Thiago Bulhões da Silva Costa; José Eduardo Krieger; Marco A. Gutierrez 001 (SIoT, 2022)

Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data. - Quenaz B. Soares; Felipe Meneguitti Dias; Estela Ribeiro; José Eduardo Krieger; Marco A. Gutierrez 001 (CinC, 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 001 (IEEE Access, 2023)

Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization. - Felipe Meneguitti Dias; Estela Ribeiro; Ramon Alfredo Moreno; Adèle Helena Ribeiro; Nelson Samesima; Carlos Alberto Pastore; José Eduardo Krieger; Marco A. Gutierrez 001 (IEEE Access, 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 001 (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 001 (CoRR, 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 001 (CoRR, 2023)

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 001 (CoRR, 2024)

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; Felipe Meneguitti Dias; Estela Ribeiro; José Eduardo Krieger; Marco A. Gutierrez 001 (CoRR, 2024)