José Eduardo Krieger

Orcid: 0000-0001-5464-1792

According to our database1, José Eduardo Krieger authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Exploring the limitations of blood pressure estimation using the photoplethysmography signal.
CoRR, 2024

2023
Before and after AlphaFold2: An overview of protein structure prediction.
Frontiers Bioinform., May, 2023

A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals.
CoRR, 2023

Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features.
CoRR, 2023

Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices.
CoRR, 2023

Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization.
IEEE Access, 2023

Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment.
IEEE Access, 2023

Automatic segmentation of stroke lesions in T1-weighted magnetic resonance images with convolutional neural networks.
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.
Proceedings of the Computing in Cardiology, 2023

CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese.
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.
Proceedings of the Symposium on Internet of Things, 2022

A deep learning approach for COVID-19 screening and localization on chest x-ray images.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal.
Proceedings of the Computing in Cardiology, 2022

2021
Study of CNN Capacity Applied to Left Ventricle Segmentation in Cardiac MRI.
SN Comput. Sci., 2021

Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes.
J. Digit. Imaging, 2021

A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI.
CoRR, 2021

A general fully automated deep-learning method to detect cardiomegaly in chest x-rays.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Automated radiographic bone suppression with deep convolutional neural networks.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2D Image-Based Atrial Fibrillation Classification.
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.
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.
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.
J. Chem. Inf. Model., 2019


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