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ORCIDAntonio Oseas de Carvalho Filho
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2020 – today
- 2024
[j26]Patrick Ryan Sales dos Santos
, Vitória de Carvalho Brito, Antonio Oseas de Carvalho Filho, João Otávio Bandeira Diniz:
KochDet: BiFPN-based deep architecture for tuberculosis diagnosis. Biomed. Signal Process. Control. 91: 106056 (2024)- [j25]Edson Damasceno Carvalho, Otilio Paulo da Silva Neto, Antonio Oseas de Carvalho Filho:
Deep learning-based tumor segmentation and classification in breast MRI with 3TP method. Biomed. Signal Process. Control. 93: 106199 (2024) - 2023
- [j24]Edson Damasceno Carvalho, Otilio Paulo da Silva Neto, Mano Joseph Mathew, Antônio Oséas de Carvalho Filho:
An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images. Expert Syst. Appl. 234: 121081 (2023) - [j23]Thiago José Barbosa Lima, Daniel S. Luz, Antonio Oseas, Rodrigo Veras, Flávio H. D. Araújo:
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features. Multim. Tools Appl. 82(27): 42977-42993 (2023) - 2021
- [j22]Edson Damasceno Carvalho, Romuere R. V. Silva, Flávio H. D. Araújo, Ricardo de A. L. Rabelo, Antônio Oséas de Carvalho Filho:
An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms. Comput. Biol. Medicine 136: 104744 (2021) - [j21]Nonato Rodrigues de Sales Carvalho, Maria da Conceição Leal Carvalho Rodrigues, Antonio Oseas de Carvalho Filho, Mano Joseph Mathew:
Automatic method for glaucoma diagnosis using a three-dimensional convoluted neural network. Neurocomputing 438: 72-83 (2021) - [j20]Vitória de Carvalho Brito, Patrick Ryan Sales dos Santos, Nonato Rodrigues de Sales Carvalho, Antonio Oseas de Carvalho Filho:
COVID-index: A texture-based approach to classifying lung lesions based on CT images. Pattern Recognit. 119: 108083 (2021) - [j19]Wilson Leal Rodrigues Junior, Fábbio Anderson Silva Borges, Antonio Oseas de Carvalho Filho, Ricardo de A. L. Rabelo:
A Deep Learning Approach for the Detection and Classification of Power Quality Disturbances with Windowed Signals. SN Comput. Sci. 2(1): 64 (2021) - [c13]Edson Damasceno Carvalho, Romuere Rôdrigues Veloso e Silva, Mano Joseph Mathew, Flávio Henrique Duarte de Araújo, Antonio Oseas de Carvalho Filho:
Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning Methods. ISCC 2021: 1-6 - [c12]José Anatiel Gonçalves Santos Landim, Flávio Henrique Duarte de Araújo, Mano Joseph Mathew, Antonio Oseas de Carvalho Filho:
An automated method for segmentation of COVID-19 lesions based on Computed Tomography using deep learning methods. ISCC 2021: 1-6 - [c11]Francisco Jose Dos Santos Reist, Mateus Assis Veloso, Filipe Mateus Moraes Rodrigues, Vitória de Carvalho Brito, Patrick Ryan Sales dos Santos, José Denes Lima Araújo, Ricardo de Andrade Lira Rabelo, Antonio Oseas de Carvalho Filho:
BacillusNet: An automated approach using RetinaNet for segmentation of pulmonary Tuberculosis bacillus. ISCC 2021: 1-4 - 2020
- [j18]Edson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Romuere R. V. e Silva, Flávio H. D. Araújo, João Otávio Bandeira Diniz, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Breast cancer diagnosis from histopathological images using textural features and CBIR. Artif. Intell. Medicine 105: 101845 (2020) - [j17]Tomaz Ribeiro Viana Bisneto, Antonio Oseas de Carvalho Filho, Deborah Maria Vieira Magalhães:
Generative adversarial network and texture features applied to automatic glaucoma detection. Appl. Soft Comput. 90: 106165 (2020) - [j16]William Torres, Antônio Oséas de Carvalho Filho, Ricardo de Andrade Lira Rabelo, Romuere Rôdrigues Veloso e Silva:
Texture analysis of lung nodules in computerized tomography images using functional diversity. Comput. Electr. Eng. 84: 106618 (2020) - [c10]Edelson Damasceno Carvalho, Edson Damasceno Carvalho, Antônio Oséas de Carvalho Filho, Alcilene Dalília de Sousa, Ricardo de Andrade Lira Rabelo:
COVID-19 diagnosis in CT images using CNN to extract features and multiple classifiers. BIBE 2020: 425-431 - [c9]Patrick Ryan Sales dos Santos, Lucas B. M. de Souza, Samuel P. B. D. Lélis, Hector B. Ribeiro, Fábbio Anderson Silva Borges, Romuere R. V. Silva, Antonio Oseas Carvalho Filho, Flávio H. D. Araújo, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues:
Prediction of COVID-19 using Time-Sliding Window: The case of Piauí State - Brazil. HealthCom 2020: 1-6 - [c8]Deusimar D. Sousa, Antonio Oseas de Carvalho Filho, Ricardo A. L. Rabêlo, Joel J. P. C. Rodrigues:
Automatic Diagnostic of the Presence of Exudates in Retinal Images Using Deep Learning. HealthCom 2020: 1-6 - [c7]Thiago José Barbosa Lima, Daniela Ushizima, Antonio Oseas de Carvalho Filho, Flávio Henrique Duarte de Araújo:
Lung CT Screening With 3D Convolutional Neural Network Architectures. ISBI Workshops 2020: 1-4 - [c6]Edson Damasceno Carvalho, Antônio Oséas de Carvalho Filho, Flávio Henrique Duarte de Araújo, Ricardo de Andrade Lira Rabelo:
Diagnosis of COVID-19 in CT image using CNN and XGBoost. ISCC 2020: 1-6 - [c5]Thiago José Barbosa Lima, Flávio Henrique Duarte de Araújo, Antonio Oseas de Carvalho Filho, Ricardo de Andrade Lira Rabelo, Rodrigo de Melo Souza Veras, Mano Joseph Mathew:
Evaluation of data balancing techniques in 3D CNNs for the classification of pulmonary nodules in CT images. ISCC 2020: 1-6 - [c4]Patrick Ryan Sales dos Santos, Vitória de Carvalho Brito, Antonio Oseas de Carvalho Filho, Flávio Henrique Duarte de Araújo, Ricardo de Andrade Lira Rabelo, Mano Joseph Mathew:
A Capsule Network-based for identification of Glaucoma in retinal images. ISCC 2020: 1-6 - [c3]Wilson Leal Rodrigues Junior, Dyôgo Medeiros Reis, Fábbio Anderson Silva Borges, Flávio Henrique Duarte de Araújo, Antônio Oséas de Carvalho Filho, Ricardo de Andrade Lira Rabelo:
Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System. SMC 2020: 2836-2841
2010 – 2019
- 2018
- [j15]Edson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Alcilene Dalília de Sousa, Aristófanes Corrêa Silva, Marcelo Gattass:
Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity. Comput. Electr. Eng. 67: 210-222 (2018) - [j14]Antônio Sousa Vieira de Carvalho Junior, Edson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Alcilene Dalília de Sousa, Aristófanes Corrêa Silva, Marcelo Gattass:
Automatic methods for diagnosis of glaucoma using texture descriptors based on phylogenetic diversity. Comput. Electr. Eng. 71: 102-114 (2018) - [j13]Wener Borges de Sampaio, Fernando Soares Sérvulo de Oliveira, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 315-330 (2018) - [j12]Marcos Vinícius dos Santos Ferreira, Antonio Oseas de Carvalho Filho, Alcilene Dalília de Sousa, Aristófanes Corrêa Silva, Marcelo Gattass:
Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma. Expert Syst. Appl. 110: 250-263 (2018) - [j11]Robherson Wector de Sousa Costa, Giovanni Lucca França da Silva, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance. Medical Biol. Eng. Comput. 56(11): 2125-2136 (2018) - [j10]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network. Pattern Recognit. 81: 200-212 (2018) - [c2]William Torres, Antonio Oseas, Alcilene Sousa, Francisco Airton Silva:
Functional Diversity applied to the false positive reduction in breast tissues based on digital mammography. ISCC 2018: 1120-1125 - 2017
- [j9]Bruno Rodrigues Froz, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Lung nodule classification using artificial crawlers, directional texture and support vector machine. Expert Syst. Appl. 69: 176-188 (2017) - [j8]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM. J. Digit. Imaging 30(6): 812-822 (2017) - [j7]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM. Medical Biol. Eng. Comput. 55(8): 1129-1146 (2017) - [j6]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
3D shape analysis to reduce false positives for lung nodule detection systems. Medical Biol. Eng. Comput. 55(8): 1199-1213 (2017) - [j5]Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM. J. Signal Process. Syst. 87(2): 179-196 (2017) - 2015
- [j4]Fernando Soares Sérvulo de Oliveira, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM. Comput. Biol. Medicine 57: 42-53 (2015) - [j3]Joberth de Nazaré Silva, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM. J. Digit. Imaging 28(3): 323-337 (2015) - [c1]Otilio Paulo da Silva Neto, Oseas Carvalho, Wener Borges de Sampaio, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva:
Automatic segmentation of masses in digital mammograms using particle swarm optimization and graph clustering. IWSSIP 2015: 109-112 - 2014
- [j2]Antonio Oseas de Carvalho Filho, Wener Borges de Sampaio, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index. Artif. Intell. Medicine 60(3): 165-177 (2014) - [j1]Alex Martins Santos, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM. Eng. Appl. Artif. Intell. 36: 27-39 (2014)
Coauthor Index
aka: Flávio Henrique Duarte de Araújo
aka: Aristófanes C. Silva
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last updated on 2024-10-07 21:21 CEST by the dblp team
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