Improving the generalization of deep learning methods to segment the left ventricle in short axis MR images. - Catharine V. Graves; Ramon Alfredo Moreno; Marina S. Rebelo; Cesar H. Nomura; Marco A. Gutierrez 001 (EMBC, 2020)

Cardiac motion estimation using pyramid, warping, and cost volume neural network. - Catharine V. Graves; Ramon Alfredo Moreno; Marina F. S. de Sá Rebelo; Adriano Bordignom; Cesar H. Nomura; Marco A. Gutierrez 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Convolutional module for heart localization and segmentation in MRI. - Daniel Mario de Lima; Catharine V. Graves; Marco A. Gutierrez 001; Bruno Brandoli; José Fernando Rodrigues Jr. (CoRR, 2021)

Automatic myocardium strain quantification in MR synthetic images with Deep Leaning. - Catharine V. Graves; Marina F. S. de Sá Rebelo; Ramon Alfredo Moreno; Cesar H. Nomura; Marco A. Gutierrez 001 (EMBC, 2022)

Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI. - Daniel Mario de Lima; Catharine V. Graves; Marco A. Gutierrez 001; Bruno Brandoli; José F. Rodrigues Jr. (ICIAP (1), 2022)

Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR. - Catharine V. Graves; Marina F. S. de Sá Rebelo; Ramon Alfredo Moreno; Roberto Nery Dantas-Jr; Antonildes N. Assunção Jr.; Cesar H. Nomura; Marco A. Gutierrez 001 (Comput. Medical Imaging Graph., 2023)