{"id":196,"date":"2019-02-06T18:25:39","date_gmt":"2019-02-06T18:25:39","guid":{"rendered":"http:\/\/www2.incor.usp.br\/sites\/spdweb\/?page_id=196"},"modified":"2023-08-25T20:45:13","modified_gmt":"2023-08-25T20:45:13","slug":"pub-2019","status":"publish","type":"page","link":"https:\/\/www2.incor.usp.br\/sites\/spdweb\/pub-2019\/","title":{"rendered":"Publications-2019"},"content":{"rendered":"\n<p>Antonildes N. Assun\u00e7\u00e3o-Jr, Roberto N. Dantas-Jr, Renata M. DoVal, Priscila Gianotto, Angela S. Marin, Mark Golden, Marco A. Gutierrez, Jose R. Parga, Cesar H. Nomura. Clinical evaluation of left ventricular function and morphology using an accelerated k-t sensitivity encoding method in cardiovascular magnetic resonance. Insights into Imaging, Vol. 10, p. 1-8, 2019. <strong><a href=\"http:\/\/dx.doi.org\/10.1186\/s13244-019-0750-6\">http:\/\/dx.doi.org\/10.1186\/s13244-019-0750-6<\/a><\/strong><\/p>\n\n\n\n<p>Makoto Miyagawa, Marly G. F. Costa, Marco A. Gutierrez, Joao P.G.F. Costa, Cicero F. F. Costa Filho. Detecting Vascular Bifurcation in IVOCT Images Using Convolutional Neural Networks with Transfer Learning. IEEE Access, Vol. 7, p. 1-1, 2019. <strong><a href=\"http:\/\/dx.doi.org\/10.1109\/access.2019.2918017\">http:\/\/dx.doi.org\/10.1109\/access.2019.2918017<\/a><\/strong><\/p>\n\n\n\n<p>ARAUJO-FILHO, Jose A.B. Araujo_Filho, Antonildes N. Assun\u00e7\u00e3o-Jr, Marco A. GutierrezCesar H. Nomura. Artificial Intelligence and Cardiac Imaging: We need to talk about this. Arquivos Brasileiros de Cardiologia &#8211; Imagem Cardiovascular, Vol. 32, p. 153-155, 2019. <strong><a href=\"http:\/\/dx.doi.org\/10.5935\/2318-8219.20190034\">http:\/\/dx.doi.org\/10.5935\/2318-8219.20190034<\/a><\/strong><\/p>\n\n\n\n<p>Makoto Miyagawa, Marly G. F. Costa, Marco A. Gutierrez, Joao P.G.F. Costa, Cicero F. F. Costa Filho. Using Convolutional Neural Networks for Classification of Bifurcation Regions in IVOCT Images. IEEE Engineering in Medicine and Biology Society (EMBC), Vod. 41. p. 5597-5600, 2019. <strong><a href=\"http:\/\/dx.doi.org\/10.1109\/EMBC.2019.8857371\">http:\/\/dx.doi.org\/10.1109\/EMBC.2019.8857371<\/a><\/strong><\/p>\n\n\n\n<p>Ramon A. Moreno, Marina F. S. Rebelo, Talles Carvalho, Antonildes N. Assuncaoo-Jr, Roberto N. Dantas-Jr, Renata do Val, Angela S. Marin, Adriano Bordignom, Cesar H. Nomura, Marco A. Gutierrez. A combined deep-learning approach to fully automatic left ventricle segmentation in cardiac magnetic resonance imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, Vol. 10953. p. 68-75, 2019. <strong><a href=\"https:\/\/doi.org\/10.1117\/12.2512895\">https:\/\/doi.org\/10.1117\/12.2512895<\/a><\/strong><\/p>\n\n\n\n<p>John Sims, Anderson Santiado, Joao Salinet, Marco A. Gutierrez. Directional Analysis of 2D Cardiac Motion Slices Using the Discrete Helmholtz Hodge Decomposition. Computing in Cardiology, Vol. 46, pp. 1-4, 2019. <strong><a href=\"https:\/\/doi.org\/10.22489\/CinC.2019.108\">https:\/\/doi.org\/10.22489\/CinC.2019.108<\/a><\/strong><\/p>\n\n\n\n<p>Maysa M.G. Macedo, Dario A.B. Oliveira, Marco A. Gutierrez. Atherosclerotic Plaques Recognition in Intracoronary Optical Images Using Neural Networks.Computing in Cardiology, Vol. 46, pp. 1-4, 2019. <strong><a href=\"https:\/\/doi.org\/10.22489\/CinC.2019.387\">https:\/\/doi.org\/10.22489\/CinC.2019.387<\/a><\/strong><\/p>\n\n\n\n<p>Daniel M. Lima, Jose F. Rodrigues-Jr, Agma J.M. Traina, Fabio A. Pires, Marco A. Gutierrez. Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research. In: MEDINFO 2019, 2019. Studies in Health Technology and Informatics, Vol. 264. pp. 233-237, 2019. <strong><a href=\"http:\/\/dx.doi.org\/10.3233\/SHTI190218\">http:\/\/dx.doi.org\/10.3233\/SHTI190218<\/a><\/strong><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Antonildes N. Assun\u00e7\u00e3o-Jr, Roberto N. Dantas-Jr, Renata M. DoVal, Priscila Gianotto, Angela S. Marin, Mark Golden, Marco A. Gutierrez, Jose R. Parga, Cesar H. Nomura. Clinical evaluation of left ventricular function and morphology using an accelerated k-t sensitivity encoding method in cardiovascular magnetic resonance. Insights into Imaging, Vol. 10, p. 1-8, 2019. http:\/\/dx.doi.org\/10.1186\/s13244-019-0750-6 Makoto Miyagawa, &hellip; <a href=\"https:\/\/www2.incor.usp.br\/sites\/spdweb\/pub-2019\/\" class=\"more-link\">Continue lendo <span class=\"screen-reader-text\">Publications-2019<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-196","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www2.incor.usp.br\/sites\/spdweb\/wp-json\/wp\/v2\/pages\/196","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www2.incor.usp.br\/sites\/spdweb\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www2.incor.usp.br\/sites\/spdweb\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www2.incor.usp.br\/sites\/spdweb\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www2.incor.usp.br\/sites\/spdweb\/wp-json\/wp\/v2\/comments?post=196"}],"version-history":[{"count":3,"href":"https:\/\/www2.incor.usp.br\/sites\/spdweb\/wp-json\/wp\/v2\/pages\/196\/revisions"}],"predecessor-version":[{"id":524,"href":"https:\/\/www2.incor.usp.br\/sites\/spdweb\/wp-json\/wp\/v2\/pages\/196\/revisions\/524"}],"wp:attachment":[{"href":"https:\/\/www2.incor.usp.br\/sites\/spdweb\/wp-json\/wp\/v2\/media?parent=196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}