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Marcelo Gattass
Marcelo Gattass
Professor of Computer Science, PUC-Rio
Verified email at tecgraf.puc-rio.br - Homepage
Title
Cited by
Cited by
Year
Convolutional neural network-based PSO for lung nodule false positive reduction on CT images
GLF Da Silva, TLA Valente, AC Silva, AC De Paiva, M Gattass
Computer methods and programs in biomedicine 162, 109-118, 2018
1692018
Detection of masses in mammogram images using CNN, geostatistic functions and SVM
WB Sampaio, EM Diniz, AC Silva, AC De Paiva, M Gattass
Computers in biology and medicine 41 (8), 653-664, 2011
1582011
TerraLib: Technology in support of GIS innovation
G Camara, R Souza, B Pedrosa, L Vinhas, AMV Monteiro, J Paiva, ...
II Workshop Brasileiro de Geoinformática, GeoInfo2000 2, 1-8, 2000
1492000
Detection of masses in digital mammograms using K-means and support vector machine
L de Oliveira Martins, GB Junior, AC Silva, AC de Paiva, M Gattass
ELCVIA Electronic Letters on Computer Vision and Image Analysis 8 (2), 39-50, 2009
1362009
Seismic fault detection in real data using transfer learning from a convolutional neural network pre-trained with synthetic seismic data
A Cunha, A Pochet, H Lopes, M Gattass
Computers & Geosciences 135, 104344, 2020
1342020
Automatic segmentation of lung nodules with growing neural gas and support vector machine
SMB Netto, AC Silva, RA Nunes, M Gattass
Computers in biology and medicine 42 (11), 1110-1121, 2012
1342012
Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index
AO de Carvalho Filho, WB De Sampaio, AC Silva, AC de Paiva, ...
Artificial intelligence in medicine 60 (3), 165-177, 2014
1222014
Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM
AM Santos, AO de Carvalho Filho, AC Silva, AC De Paiva, RA Nunes, ...
Engineering applications of artificial intelligence 36, 27-39, 2014
1212014
Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM
FSS de Oliveira, AO de Carvalho Filho, AC Silva, AC de Paiva, M Gattass
Computers in biology and medicine 57, 42-53, 2015
942015
Lung nodules diagnosis based on evolutionary convolutional neural network
GLF da Silva, OP da Silva Neto, AC Silva, AC de Paiva, M Gattass
Multimedia Tools and Applications 76, 19039-19055, 2017
872017
Breast cancer diagnosis from histopathological images using textural features and CBIR
ED Carvalho, OC Antonio Filho, RRV Silva, FHD Araujo, JOB Diniz, ...
Artificial intelligence in medicine 105, 101845, 2020
862020
Seismic fault detection using convolutional neural networks trained on synthetic poststacked amplitude maps
A Pochet, PHB Diniz, H Lopes, M Gattass
IEEE Geoscience and Remote Sensing Letters 16 (3), 352-356, 2018
782018
Node and element resequencing using the laplacian of a finite element graph: part I—general concepts and algorithm
GH Paulino, IFM Menezes, M Gattass, S Mukherjee
International Journal for Numerical Methods in Engineering 37 (9), 1511-1530, 1994
771994
Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks
JOB Diniz, PHB Diniz, TLA Valente, AC Silva, AC de Paiva, M Gattass
Computer methods and programs in biomedicine 156, 191-207, 2018
752018
Kidney segmentation from computed tomography images using deep neural network
LB da Cruz, JDL Araújo, JL Ferreira, JOB Diniz, AC Silva, JDS de Almeida, ...
Computers in Biology and Medicine 123, 103906, 2020
732020
Lung nodule classification using artificial crawlers, directional texture and support vector machine
BR Froz, AO de Carvalho Filho, AC Silva, AC de Paiva, RA Nunes, ...
Expert Systems with Applications 69, 176-188, 2017
702017
Automatic embryonic stem cells detection and counting method in fluorescence microscopy images
GM Faustino, M Gattass, S Rehen, CJP de Lucena
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
662009
Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network
AO de Carvalho Filho, AC Silva, AC de Paiva, RA Nunes, M Gattass
Pattern Recognition 81, 200-212, 2018
652018
Natural approach for geometric non‐linear analysis of thin‐walled frames
A Conci, M Gattass
International Journal for Numerical Methods in Engineering 30 (2), 207-231, 1990
631990
Intersecting and trimming parametric meshes on finite element shells
LCG Coelho, M Gattass, LH de Figueiredo
International Journal for Numerical Methods in Engineering 47 (4), 777-800, 2000
612000
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