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Issue Date	Title	Author(s)
2019	A combined deep-learning approach to fully automatic left ventricle segmentation in cardiac magnetic resonance imaging	MORENO, Ramon A.; REBELO, Marina F. S. de Sa; CARVALHO, Talles; ASSUNCAO-JR, Antonildes N.; JR, Roberto N. Dantas; VAL, Renata do; MARIN, Angela S.; BORDIGNOM, Adriano; NOMURA, Cesar H.; GUTIERREZ, Marco A.
2019	Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research	LIMA, Daniel M.; RODRIGUES-JR, Jose F.; TRAINA, Agma J. M.; PIRES, Fabio A.; GUTIERREZ, Marco A.
2020	Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks	PEREIRA, Renato F.; REBELO, Marina S.; MORENO, Ramon A.; MARCO, Anderson G.; LIMA, Daniel M.; ARRUDA, Marcelo A. F.; KRIEGER, Jose E.; GUTIERREZ, Marco A.
2021	Cardiac Motion Estimation using Pyramid, Warping, and Cost Volume Neural Network	GRAVES, Catharine V.; MORENO, Ramon A.; REBELO, Marina F. S.; BORDIGNOM, Adriano; NOMURA, Cesar H.; GUTIERREZ, Marco A.
2020	Improving the generalization of deep learning methods to segment the left ventricle in short axis MR images	GRAVES, Catharine V.; MORENO, Ramon A.; REBELO, Marina S.; NOMURA, Cesar H.; GUTIERREZ, Marco A.
2020	Bag-of-Attributes Representation: a Vector Space Model for Electronic Health Records Analysis in OMOP	JR, Jose M. Clementino; BONES, Christian C.; FAICAL, Bruno S.; LINARES, Oscar C.; LIMA, Daniel M.; GUTIERREZ, Marco A.; JR, Caetano Traina; TRAINA, Agma J. M.