| 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 | 185 | 2018 |
| 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 | 163 | 2011 |
| 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 | 150 | 2000 |
| 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 | 148 | 2020 |
| 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 | 135 | 2012 |
| 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 | 135 | 2009 |
| 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 | 124 | 2014 |
| 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, RA Nunes, ... Artificial intelligence in medicine 60 (3), 165-177, 2014 | 123 | 2014 |
| 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 | 96 | 2015 |
| 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 | 95 | 2017 |
| 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 | 87 | 2020 |
| 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 | 85 | 2018 |
| 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 | 78 | 2020 |
| 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 | 77 | 1994 |
| 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 | 76 | 2018 |
| 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 | 71 | 2017 |
| Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma MV dos Santos Ferreira, AO de Carvalho Filho, AD de Sousa, AC Silva, ... Expert Systems with Applications 110, 250-263, 2018 | 69 | 2018 |
| 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 | 68 | 2018 |
| 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 | 66 | 2009 |
| 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 | 64 | 1990 |
Aristofanes Correa SilvaProfessor de Ciência da Computação. Universidade Federal do Maranhão在 dee.ufma.br 的电子邮件经过验证
