José Eduardo Krieger

According to our database, José Eduardo Krieger authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

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

Before and after AlphaFold2: An overview of protein structure prediction.

Letícia M. F. Bertoline, Angélica Nakagawa Lima, José Eduardo Krieger, Samantha K. Teixeira

Frontiers Bioinform., May, 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

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

IEEE Access, 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, 2023

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

Proceedings of the Computing in Cardiology, 2023

CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese.

Elisa Terumi Rubel Schneider, Yohan Bonescki Gumiel, João Vitor Andrioli de Souza, Lilian Mie Mukai Cintho, Lucas Emanuel Silva e Oliveira, Marina de Sá Rebelo, Marco Antonio Gutierrez, José Eduardo Krieger, Douglas Teodoro, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

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

Proceedings of the Symposium on Internet of Things, 2022

A deep learning approach for COVID-19 screening and localization on chest x-ray images.

Karem Daiane Marcomini, Diego Armando Cardona Cárdenas, Agma Juci Machado Traina, José Eduardo Krieger, Marco Antonio Gutierrez

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 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

Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes.

José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez

J. Digit. Imaging, 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

A general fully automated deep-learning method to detect cardiomegaly in chest x-rays.

José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Automated radiographic bone suppression with deep convolutional neural networks.

Diego Armando Cardona Cárdenas, José Raniery Ferreira Jr., Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

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

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks.

Renato F. Pereira, Marina S. Rebelo, Ramon Alfredo Moreno, Anderson G. Marco, Daniel Mario de Lima, Marcelo A. F. Arruda, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.

José Raniery Ferreira, Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Biased Agonist TRV027 Determinants in AT1R by Molecular Dynamics Simulations.

Silvestre Massimo Modestia, Matheus Malta de Sá, Eric Auger, Gustavo Henrique Goulart Trossini, José Eduardo Krieger, Carlota de Oliveira Rangel-Yagui

J. Chem. Inf. Model., 2019