Marco A. Gutierrez, Diego A. C. Cardenas, Karem D. Marcomini, Agma J. M. Traina, Ramon A. Moreno, José E.Krieger. Application of artificial intelligence in cardiovascular imaging: Automatic classification of chest radiography imagesX. Revista SOCESP, Vol.32, No.1 p. 131-138, 2022. http://dx.doi.org/10.29381/0103-8559/2022320131-8
Carlos R.R. Carvalho, Rodrigo C. Chate, Marcio V.Y. Sawamura, Michelle L. Garcia, Celina A. Lamas, Diego A.C. Cardenas, Daniel M. Lima, Paulo G. Schudeller, Joao M. salge, Cesar H. Nomura, Marco A. Gutierrez. Chronic lung lesions in COVID-19 survivors: predictive clinical model. BMJ Open, Vol. 12, p. e059110, 2022. http://dx.doi.org/10.1136/bmjopen-2021-059110
Thiago B.S. Costa, Lucas Shinoda, Ramon A. Moreno, Jose E. Krieger, Marco A Gutierrez. Blockchain-Based Architecture Design for Personal Health Record: Development and Usability Study. Journal of Medical Internet Research, Vol. 24, p. e35013-e35013-16, 2022. http://dx.doi.org/10.2196/35013
Claudio D.G. Linhares, Daniel M. Lima, Jean R. Ponciano, Mauro M. Olivatto, Marco A. Gutierrez, Jorge Poco, Caetano Traina, Agma J.M. Traina. ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. IEEE Transaction on Visualization and Computer Graphics, Vol. 1, p. 1-1, 2022. http://dx.doi.org/10.1109/tvcg.2022.3175626
Bruno A. Rocha, Lorena C. Ferreira, Luiz G.R. Vianna, Luma G.G. Ferreira, Ana C. M. Ciconelle, Alex S. Noronha, Joao M.C. Filho, Lucas S.L. Nogueira, Jean M.R.S. Leite, Mauricio R.M.C. Leite, Marcelo M. Felix, Marco A. Gutierrez, Cesar H. Nomura, Giovanni G. Cerri, Jose Flair Carrilho, Suzane K. Ono. Contrast phase recognition in liver computer tomography using deep learning. Scientific Reports, Vol. 12, p. 20315-20326, 2022. http://dx.doi.org/10.1038/s41598-022-24485-y
Erikson J. de Aguiar, Karem D. Marcomini, Felipe A. Quirino, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. Medicial Imaging: ComputerAided Diagnosis v. 12033. p. 122-128, 2022. http://dx.doi.org/10.1117/12.2611199
Karem D. Marcomini, Diego A. C. Cardenas, Agma J. M. Traina, José E. Krieger, Marco A. Gutierrez. A deep learning approach for COVID-19 screening and localization on chest x-ray images. Medical Imaging : Computer-Aided Diagnosis, Vol. 12033. p. 103-111., 2022. https://doi.org/10.1117/12.2613177
Felipe M. Dias, Thiago B. S. Costa, Diedo A.C. Cardenas, Marcelo A. F. Arruda, Jose E. Krieger, Marco A. Gutierrez. A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal. Computing in Cardiology Vol. 49. p. 1-4, 2022. http://dx.doi.org/10.22489/CinC.2022.238
Catharine V. Graves, Marina F.S. Rebelo, Ramon A. Moreno, Cesar H. Nomura, Marco A. Gutierrez. Automatic myocardium strain quantification in MR synthetic images with Deep Leaning. IEEE Engineering in Medicine & Biology Society (EMBC), Vol. 2022. p. 545-548. http://dx.doi.org/10.1109/embc48229.2022.9871516
Quenaz B. Soares, Rosangela Monteiro, Fabio B. Jatene, Marco A. Gutierrez. A Lightweight Unidimensional Deep Learning Model for Atrial Fibrillation Detection. Computing in Cardiology, Vol. 49. p. 1-4, 2022. http://dx.doi.org/10.22489/CinC.2022.220
Ramon A. Moreno, Felipe M. Dias, Marcelo A.F. Arruda, Filipe Oliveira, Thiago B.S. Costa, Jose E. Krieger, Marco A. Gutierrez. IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure. Symposium on Internet of Things (SIoT), Vol. 2022. p. 1-4, 2022. http://dx.doi.org/10.1109/siot56383.2022.10069878