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José Eduardo Krieger
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2020 – today
- 2024
- [i5]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) - 2023
- [j6]Thiago Bulhões da Silva Costa
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
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
Before and after AlphaFold2: An overview of protein structure prediction. Frontiers Bioinform. 3 (2023) - [c11]Elisa Terumi Rubel Schneider
CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese. CBMS 2023: 378-381 - [c10]Quenaz B. Soares, Felipe Meneguitti Dias, Estela Ribeiro
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. Medical Imaging: 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
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
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
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
A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal. CinC 2022: 1-4 - [c7]Karem Daiane Marcomini, Diego Armando Cardona Cárdenas
A deep learning approach for COVID-19 screening and localization on chest x-ray images. Medical Imaging: Computer-Aided Diagnosis 2022 - [c6]Ramon Alfredo Moreno, Felipe Meneguitti Dias
IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure. SIoT 2022: 1-4 - 2021
- [j3]José Raniery Ferreira Jr.
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
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
2D Image-Based Atrial Fibrillation Classification. CinC 2021: 1-4 - [c4]Diego Armando Cardona Cárdenas
Automated radiographic bone suppression with deep convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c3]José Raniery Ferreira Jr.
A general fully automated deep-learning method to detect cardiomegaly in chest x-rays. Medical Imaging: 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
Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks. EMBC 2020: 1221-1224 - [c1]José Raniery Ferreira
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)
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last updated on 2024-10-07 21:22 CEST by the dblp team
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