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José Eduardo Krieger
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2020 – today
- 2024
- [i6]Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo A. F. Toledo, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez:
Exploring the limitations of blood pressure estimation using the photoplethysmography signal. CoRR abs/2404.16049 (2024) - [i5]Joseph A. P. Quino, Diego A. C. Cardenas, Marcelo A. F. Toledo, Felipe Meneguitti Dias, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez:
Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications. CoRR abs/2410.00693 (2024) - 2023
- [j6]Thiago Bulhões da Silva Costa, Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco Antonio Gutierrez:
Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment. IEEE Access 11: 57934-57950 (2023) - [j5]Felipe Meneguitti Dias, Estela Ribeiro, Ramon Alfredo Moreno, Adèle Helena Ribeiro, Nelson Samesima, Carlos Alberto Pastore, José Eduardo Krieger, Marco A. Gutierrez:
Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization. IEEE Access 11: 121739-121752 (2023) - [j4]Letícia M. F. Bertoline, Angélica Nakagawa Lima, José Eduardo Krieger, Samantha K. Teixeira:
Before and after AlphaFold2: An overview of protein structure prediction. Frontiers Bioinform. 3 (2023) - [c11]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:
CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese. CBMS 2023: 378-381 - [c10]Quenaz B. Soares, Felipe Meneguitti Dias, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez:
Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data. CinC 2023: 1-4 - [c9]Aldir Sousa, Marcelo Toledo, José Eduardo Krieger, Marco Antonio Gutierrez:
Automatic segmentation of stroke lesions in T1-weighted magnetic resonance images with convolutional neural networks. Computer-Aided Diagnosis 2023 - [i4]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:
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices. CoRR abs/2307.08766 (2023) - [i3]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:
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features. CoRR abs/2308.01930 (2023) - [i2]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:
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals. CoRR abs/2308.05759 (2023) - 2022
- [c8]Felipe Meneguitti Dias, Thiago Bulhões da Silva Costa, Diego Armando Cardona Cárdenas, Marcelo Toledo, José Eduardo Krieger, Marco A. Gutierrez:
A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal. CinC 2022: 1-4 - [c7]Karem Daiane Marcomini, Diego Armando Cardona Cárdenas, Agma Juci Machado Traina, José Eduardo Krieger, Marco Antonio Gutierrez:
A deep learning approach for COVID-19 screening and localization on chest x-ray images. Computer-Aided Diagnosis 2022 - [c6]Ramon Alfredo Moreno, Felipe Meneguitti Dias, Marcelo A. F. Arruda, Filipe Oliveira, Thiago Bulhões da Silva Costa, José Eduardo Krieger, Marco A. Gutierrez:
IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure. SIoT 2022: 1-4 - 2021
- [j3]José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez:
Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes. J. Digit. Imaging 34(2): 297-307 (2021) - [j2]Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco A. Gutierrez:
Study of CNN Capacity Applied to Left Ventricle Segmentation in Cardiac MRI. SN Comput. Sci. 2(6): 480 (2021) - [c5]Felipe Meneguitti Dias, Nelson Samesima, Adèle Helena Ribeiro, Ramon Alfredo Moreno, Carlos Alberto Pastore, José Eduardo Krieger, Marco A. Gutierrez:
2D Image-Based Atrial Fibrillation Classification. CinC 2021: 1-4 - [c4]Diego Armando Cardona Cárdenas, José Raniery Ferreira Jr., Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco A. Gutierrez:
Automated radiographic bone suppression with deep convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c3]José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez:
A general fully automated deep-learning method to detect cardiomegaly in chest x-rays. Computer-Aided Diagnosis 2021 - [i1]Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco A. Gutierrez:
A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI. CoRR abs/2107.01318 (2021) - 2020
- [c2]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:
Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks. EMBC 2020: 1221-1224 - [c1]José Raniery Ferreira, Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez:
Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images. EMBC 2020: 1238-1241
2010 – 2019
- 2019
- [j1]Silvestre Massimo Modestia, Matheus Malta de Sá, Eric Auger, Gustavo Henrique Goulart Trossini, José Eduardo Krieger, Carlota de Oliveira Rangel-Yagui:
Biased Agonist TRV027 Determinants in AT1R by Molecular Dynamics Simulations. J. Chem. Inf. Model. 59(2): 797-808 (2019)
Coauthor Index
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