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 (CBMS, 2015)

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 (Image Perception, Observer Performance, and Technology Assessment, 2016)

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 (Computer-Aided Diagnosis, 2017)

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 (Computer-Aided Diagnosis, 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)

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 (CogMI, 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 (Computer-Aided Diagnosis, 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)

Assessing Risks of Biases in Cognitive Decision Support Systems. - Kenneth Lai; Helder Cesar Rodigues de Oliveira; Ming Hou 002; Svetlana N. Yanushkevich; Vlad P. Shmerko (EUSIPCO, 2020)

Video-Based Breathing Rate Monitoring in Sleeping Subjects. - Leonardo Queiroz; Helder Cesar Rodigues de Oliveira; Svetlana N. Yanushkevich; Reed Ferber (SMC, 2020)

Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support. - Kenneth Lai; Helder Cesar Rodigues de Oliveira; Ming Hou 002; Svetlana N. Yanushkevich; Vlad P. Shmerko (IEEE Access, 2020)

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications. - Arash Mohammadi 001; Yingxu Wang 001; Nastaran Enshaei; Parnian Afshar; Farnoosh Naderkhani; Anastasia Oikonomou; Moezedin Javad Rafiee; Helder Cesar Rodigues de Oliveira; Svetlana N. Yanushkevich; Konstantinos N. Plataniotis (CoRR, 2020)

Thermal-Mask - A Dataset for Facial Mask Detection and Breathing Rate Measurement. - Leonardo Queiroz; Helder Cesar Rodigues de Oliveira; Svetlana N. Yanushkevich (IDT, 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 (SSCI, 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)

Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. - Arash Mohammadi 001; Yingxu Wang 001; 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)

Sensitivity Analysis of Stroke Predictors Using Structural Equation Modeling and Bayesian Networks. - Helder Cesar Rodigues de Oliveira; Svetlana N. Yanushkevich; Mohammed Almekhlafi (CIBCB, 2022)

Pressure Sensor Data Analysis for Motor Function Assessment of Stroke Patients. - Helder Cesar Rodigues de Oliveira; Haaziq Altaf; Mohammed Almekhlafi; Svetlana N. Yanushkevich (SSCI, 2022)