Helder Cesar Rodigues de Oliveira

According to our database, Helder Cesar Rodigues de Oliveira authored at least 18 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Pressure Sensor Data Analysis for Motor Function Assessment of Stroke Patients.

Helder Cesar Rodigues de Oliveira, Haaziq Altaf, Mohammed Almekhlafi, Svetlana N. Yanushkevich

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Sensitivity Analysis of Stroke Predictors Using Structural Equation Modeling and Bayesian Networks.

Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Mohammed Almekhlafi

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021

Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications.

Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis

IEEE Signal Process. Mag., 2021

A Novel Fusion-Based Texture Descriptor to Improve the Detection of Architectural Distortion in Digital Mammography.

Osmando Pereira Junior, Helder Cesar Rodigues de Oliveira, Carolina Toledo Ferraz, José Hiroki Saito, Marcelo Andrade da Costa Vieira, Adilson Gonzaga

J. Digit. Imaging, 2021

Decision Support for Infection Outbreak Analysis: the case of the Diamond Princess cruise ship.

Helder Cesar Rodigues de Oliveira, Vlad P. Shmerko, Svetlana N. Yanushkevich

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Thermal-Mask - A Dataset for Facial Mask Detection and Breathing Rate Measurement.

Leonardo Queiroz, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich

Proceedings of the International Conference on Information and Digital Technologies, 2021

2020

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications.

Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis

CoRR, 2020

Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support.

Kenneth Lai, Helder Cesar Rodigues de Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko

IEEE Access, 2020

Video-Based Breathing Rate Monitoring in Sleeping Subjects.

Leonardo Queiroz, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Reed Ferber

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Assessing Risks of Biases in Cognitive Decision Support Systems.

Kenneth Lai, Helder Cesar Rodigues de Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko

Proceedings of the 28th European Signal Processing Conference, 2020

2019

A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices.

Helder Cesar Rodigues de Oliveira, Arianna Mencattini, Paola Casti, Juliana H. Catani, Nestor de Barros, Adilson Gonzaga, Eugenio Martinelli, Marcelo Andrade da Costa Vieira

Biomed. Signal Process. Control., 2019

Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography.

Helder Cesar Rodigues de Oliveira, Carlos F. E. Melo, Juliana H. Catani, Nestor de Barros, Marcelo Andrade da Costa Vieira

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Cognitive Identity Management: Risks, Trust and Decisions using Heterogeneous Sources.

Svetlana N. Yanushkevich, W. Gareth J. Howells, Keeley A. Crockett, James O'Shea, Helder Cesar Rodigues de Oliveira, Richard M. Guest, Vlad P. Shmerko

Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

2018

Data Augmentation for Detection of Architectural Distortion in Digital Mammography using Deep Learning Approach.

Arthur C. Costa, Helder Cesar Rodigues de Oliveira, Juliana H. Catani, Nestor de Barros, Carlos F. E. Melo, Marcelo Andrade da Costa Vieira

CoRR, 2018

Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography.

Helder Cesar Rodigues de Oliveira, Arianna Mencattini, Paola Casti, Eugenio Martinelli, Corrado Di Natale, Juliana H. Catani, Nestor de Barros, Carlos F. E. Melo, Adilson Gonzaga, Marcelo Andrade da Costa Vieira

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images.

Helder Cesar Rodigues de Oliveira, Diego R. Moraes, Gustavo A. Reche, Lucas R. Borges, Juliana H. Catani, Nestor de Barros, Carlos F. E. Melo, Adilson Gonzaga, Marcelo Andrade da Costa Vieira

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

Validation of no-reference image quality index for the assessment of digital mammographic images.

Helder Cesar Rodigues de Oliveira, Bruno Barufaldi, Lucas R. Borges, Salvador Gabarda, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Marcelo Andrade da Costa Vieira

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2015

Use of Wavelet Multiresolution Analysis to Reduce Radiation Dose in Digital Mammography.

Helder Cesar Rodigues de Oliveira, Lucas Rodrigues Borges, Polyana Ferreira Nunes, Predrag R. Bakic, Andrew D. A. Maidment, Marcelo Andrade da Costa Vieira

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015