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Publications

Accepted (to appear)

  1. DIAS, FELIPE M.; ⭐ RIBEIRO, ESTELA; SOARES, QUENAZ B.; KRIEGER, JOSE E.; GUTIERREZ, MARCO A. G. Image-Based Electrocardiogram Classification using Pre-trained ConvNext. Computing in Cardiology Conference (CinC), 2024.
  2. SOARES, Q. B.; ANDRADE, D. A.; ⭐ RIBEIRO, E.; et al. Clinical Assessment of a Lightweight CNN Model for Real-Time Atrial Fibrillation Prediction in Continuous Wearable Monitoring. IEEE Engineering in Medicine and Biology Conference (EMBC), 2024.
  3. DIAS, F. M.; TOLEDO, M. A. F.; CARDENAS, D. A. C.; OLIVEIRA, F. A. C.; ⭐ RIBEIRO, E.; KRIEGER, J. E.; GUTIERREZ, M. A. Estimating Blood Pressure from PPG Signals Using a Dual Calibration Siamese Network Approach. Brazilian Congress of Biomedical Engineering (CBEB), 2024.
  4. LARANJEIRA, R.; DIAS, F. M.; ⭐ RIBEIRO, E.; GUTIERREZ, M. A.; CORDEIRO, T. Multimodal Neural Network for Atrial Fibrillation Classification from Single-Lead ECG Recordings. Brazilian Congress of Biomedical Engineering (CBEB), 2024.

Journal Articles

  1. ⭐ RIBEIRO, ESTELA; CARDENAS, DIEGO A. C.; DIAS, FELIPE M.; KRIEGER, JOSE E.; GUTIERREZ, MARCO A. Explainable AI in Deep Learning-Based Detection of Aortic Elongation on Chest X-Ray Images. European Heart Journal - Digital Health, vol. ztae04, pp. 1, 2024.
    DOI: 10.1093/ehjdh/ztae045

  2. DIAS, FELIPE M.; ⭐ RIBEIRO, ESTELA; MORENO, RAMON A.; RIBEIRO, ADELE H.; SAMESIMA, NELSON; PASTORE, CARLOS A.; KRIEGER, JOSE E.; GUTIERREZ, MARCO A. Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization. IEEE Access, vol. 11, pp. 1-1, 2023.
    DOI: 10.1109/ACCESS.2023.3328538

  3. ⭐ RIBEIRO, ESTELA; THOMAZ, CARLOS EDUARDO. Less acoustic features means more statistical relevance: Disclosing the clustering behavior in music stimuli. IEEE Latin America Transactions, vol. 20, pp. 686-692, 2022.
    DOI: 10.1109/TLA.2022.9675475

  4. ⭐ RIBEIRO, ESTELA; THOMAZ, CARLOS EDUARDO. A Whole Brain EEG Analysis of Musicianship. Music Perception, vol. 37, pp. 42-56, 2019.
    DOI: 10.1525/mp.2019.37.1.42

Conference Papers

  1. ALMEIDA, D. A.; DIAS, FELIPE M.; TOLEDO, M. A. F.; CARDENAS, D. A. C.; OLIVEIRA, F. A. C.; ⭐ RIBEIRO, E.; KRIEGER, JOSE E.; GUTIERREZ, MARCO A. A Machine-Learning Sleep-Wake Classification Model Using a Reduced Number of Features Derived from Photoplethysmography and Activity Signals. In: XXIV Brazilian Symposium on Applied Computing to Health, Goiás, 2024. Proceedings of the XXIV Brazilian Symposium on Applied Computing to Health, vol. 24.
    DOI: 10.5753/sbcas.2024.1872

  2. OLIVEIRA, F. A. C.; DIAS, FELIPE M.; TOLEDO, M. A. F.; CARDENAS, D. A. C.; ALMEIDA, D. A.; ⭐ RIBEIRO, E.; KRIEGER, JOSE E.; GUTIERREZ, MARCO A. Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features. In: XXIV Brazilian Symposium on Applied Computing to Health, Goiás, 2024. Proceedings of the XXIV Brazilian Symposium on Applied Computing to Health, vol. 24.
    DOI: 10.5753/sbcas.2024.1889

  3. ⭐ RIBEIRO, ESTELA; CARDENAS, DIEGO A. C.; KRIEGER, JOSE E.; GUTIERREZ, MARCO A. Interpretable Deep Learning Model For Cardiomegaly Detection with Chest X-ray Images. In: XXIII Brazilian Symposium on Applied Computing to Health (SBCAS 2023), Brazil, 2023. Proceedings of the XXIII Brazilian Symposium on Applied Computing to Health, vol. 23, pp. 340.
    DOI: 10.5753/sbcas.2023.229943

  4. ⭐ RIBEIRO, ESTELA; DIAS, FELIPE M.; SOARES, QUENAZ B.; KRIEGER, JOSE E.; GUTIERREZ, MARCO A. G. Deep Learning Approach for Detection of Atrial Fibrillation and Atrial Flutter Based on ECG Images. In: XXIII Brazilian Symposium on Applied Computing to Health (SBCAS 2023), Brazil, 2023. Proceedings of the XXIII Brazilian Symposium on Applied Computing to Health, vol. 23, pp. 509.
    DOI: 10.5753/sbcas.2023.229744

  5. BEZERRA SOARES, QUENAZ; MENEGUITTI DIAS, FELIPE; ⭐ RIBEIRO, ESTELA; EDUARDO KRIEGER, JOSE; GUTIERREZ, MARCO. Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data. In: Computing in Cardiology Conference, 2023.
    DOI: 10.22489/CinC.2023.165

  6. FERNANDES, M. A. S.; ⭐ RIBEIRO, E.; THOMAZ, C. E. Análise de características acústicas para identificação de triggers em gêneros e áudios musicais distintos. In: Simpósio Brasileiro de Computação Musical, 2021.
    DOI: 10.5753/sbcm.2021.19450

  7. BARBOSA, V. S.; ⭐ RIBEIRO, E.; THOMAZ, C. E. Agrupamento estatístico de característica acústica e triggers. In: XI Scientific Symposium of FEI (SICFEI), São Bernardo do Campo, 2021. Proceedings of SICFEI, vol. 11.

  8. FERNANDES, M. A. S.; RIBEIRO, E.; THOMAZ, C. E. Study on Brain Activations Modulated by Music Preferences. In: X Scientific Symposium of FEI (SICFEI), São Bernardo do Campo, 2020. Proceedings of SICFEI, vol. 10.

  9. FERREIRA, L. A.; ⭐ RIBEIRO, ESTELA; THOMAZ, C. E. A Cluster Analysis of Benchmark Acoustic Features on Brazilian Music. In: 17th Brazilian Symposium on Computer Music (SBCM), São João del Rei, 2019. Proceedings of SBCM, vol. 17.
    DOI: 10.5753/sbcm.2019.10444

  10. FERREIRA, L. A.; RIBEIRO, E.; THOMAZ, C. E. Padrões de ativação corticais gerados durante a audição de músicas brasileiras. In: IX Scientific Symposium of FEI (SICFEI), São Bernardo do Campo, 2019. Proceedings of SICFEI, vol. 9.

  11. ⭐ RIBEIRO, ESTELA; THOMAZ, CARLOS EDUARDO. A Multivariate Statistical Analysis of EEG Signals for Differentiation of Musicians and Non-Musicians. In: XV National Meeting on Artificial and Computational Intelligence (ENIAC), São Paulo, 2018.
    DOI: 10.5753/eniac.2018.4442

  12. VARELA, V. P. L.; ⭐ RIBEIRO, E.; ORONA, P. A. S. S.; THOMAZ, C. E. Eye Movements and Human Face Perception: A Holistic Analysis and Proficiency Classification Based on Frontal 2D Face Images. In: XV National Meeting on Artificial and Computational Intelligence (ENIAC), São Paulo, 2018.
    DOI: 10.5753/eniac.2018.4403

  13. ⭐ RIBEIRO, ESTELA; THOMAZ, CARLOS EDUARDO. Um estudo sobre predição de musicalidade por meio da análise de sinais de EEG. In: VIII Symposium on Medical Instrumentation and Images (SIIM) / VII Signal Processing Symposium (SPS), São Bernardo do Campo, 2017. Proceedings of SIIM / SPS 2017.

Preprints

  1. PENA, J.; CARDENAS, D. A. C.; TOLEDO, M. A. F.; DIAS, F. M.; ⭐ RIBEIRO, E.; KRIEGER, J. E.; GUTIERREZ, M. A. Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications. ArXiv, 2024.
    DOI: 10.48550/arXiv.2410.00693

  2. DIAS, F. M.; TOLEDO, M. A. F.; CARDENAS, D. A. C.; ALMEIDA, D. A.; OLIVEIRA, F. A. C.; ⭐ RIBEIRO, E.; KRIEGER, J. E.; GUTIERREZ, M. A. Exploring the limitations of blood pressure estimation using the photoplethysmography signal. ArXiv, 2024.
    DOI: 10.48550/arXiv.2404.16049

  3. ⭐ RIBEIRO, E.; CARDENAS, D. A. C.; DIAS, F. M.; KRIEGER, J. E.; GUTIERREZ, M. A. Enhancing Interpretability in Image-Based ECG Exams for Atrial Fibrillation Classification Using Deep Learning. SSRN, 2024.
    DOI: 10.2139/ssrn.4685963

  4. DIAS, F. M.; ⭐ RIBEIRO, E.; SOARES, Q. B.; KRIEGER, J. E.; GUTIERREZ, M. A. Predicting Age and Sex from Reduced Lead Electrocardiograms using Deep Learning.
    DOI: 10.36227/techrxiv.23908089

  5. ⭐ RIBEIRO, E.; SOARES, Q. B.; DIAS, F. M.; KRIEGER, J. E.; GUTIERREZ, M. A. Can Deep Learning Models Differentiate Atrial Fibrillation From Atrial Flutter?
    DOI: 10.1101/2023.08.08.23293815

  6. DIAS, F. M.; TOLEDO, M. A. F.; CARDENAS, D. A. C.; ALMEIDA, D. A.; OLIVEIRA, F. A. C.; ⭐ RIBEIRO, E.; KRIEGER, J. E.; GUTIERREZ, M. A. Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices. ArXiv Quantum Physics e-print, v. 1, p. 1-9, 2023.
    DOI: 10.48550/arXiv.2307.08766

Participation in Examination Boards

PhD Qualification Exams

  • Thomaz, C. E.; ⭐ RIBEIRO, E.; NOBRE, D. T. C. Participated in the PhD qualification board of Leonardo Antunes Ferreira. TITLE: Avaliação Automática e Contínua da Expressão Facial de Dor Neonatal: Uma Metodologia Computacional para a Prática Clínica. Centro Universitário FEI, 2024.

Master's Exams

  • Osamu Saotome; Marcus Henrique Victor Júnior; Mônica Mitiko Soares Matsumoto; Harki Tanaka; ⭐ RIBEIRO, E. Participated in the Master's thesis board of JEAN PHELIPE DE OLIVEIRA LIMA. TITLE: Avaliação de Métodos de Explicabilidade em Redes Neurais Convolucionais para Detecção de COVID-19 em Imagens de Tomografia Computadorizada. Instituto Tecnológico de Aeronáutica (ITA), 2023.

Master's Qualification Exams

  • Cordeiro, T.; ⭐ RIBEIRO, E.; Pimentel, B. A. Participated in the Master's qualification board of Rafael Monteiro Laranjeira. TITLE: Multimodal Fusion: Image-Based ECG Signal Classification for Atrial Fibrillation Detection. Universidade Federal de Alagoas (UFAL), 2024.

Undergraduate

  • Thomaz, C. E.; L. R. S. Junior; ⭐ RIBEIRO, E. Participated in the undergraduate thesis board of BRUNO L. R.; GUILHERME B. P.; LUCAS M. C.; Paulo H. V. C.. TITLE: SLEEP-IA, Sleep Monitoring: An Approach for Sleep Stage Classification Using Artificial Neural Networks. Centro Universitário FEI, 2021.