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Disambiguation of "Silva, Aristófanes Corrêa"

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Esophagus segmentation from planning CT images using an atlas-based deep learning approach.

, , , , and . Comput. Methods Programs Biomed., (2020)

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Rodrigo Corrêa Silva

Laís Corrêa

Rosenildo Corrêa Costa

Luiz Gustavo Guedes Corrêa

Evolutionary and functional analysis of transcription factors controlling leaf development. Uni Potsdam, (2009)

Liliane Corrêa Oliveira Klaus

 

Other publications of authors with the same name

Algoritmos para DiagnóStico Assistido de nóDulos Pulmonares SolitáRIOS EM Imagens de Tomografia Computadorizada.. Pontifical Catholic University of Rio de Janeiro, Brazil, (2004)ndltd.org (oai:agregador.ibict.br.BDTD_PUC_RIO:oai:MAXWELL.puc-rio.br:4516).Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network., , , , and . Pattern Recognit., (2018)Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures., , , and . MLDM, volume 3587 of Lecture Notes in Computer Science, page 295-304. Springer, (2005)Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations., , , , , , and . Comput. Ind., (2018)Esophagus segmentation from planning CT images using an atlas-based deep learning approach., , , , and . Comput. Methods Programs Biomed., (2020)Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis., , , , and . Comput. Methods Programs Biomed., (2021)Lung nodule classification using artificial crawlers, directional texture and support vector machine., , , , , and . Expert Syst. Appl., (2017)Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM., , and . MLDM, volume 5632 of Lecture Notes in Computer Science, page 540-553. Springer, (2009)3D shape analysis to reduce false positives for lung nodule detection systems., , , , and . Medical Biol. Eng. Comput., 55 (8): 1199-1213 (2017)Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM., , , , and . Comput. Biol. Medicine, (2015)