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Wellington Pinheiro dos Santos

Observed names: Santos Wellington P., Santos, Wellington P., Santos, Wellington Pinheiro dos, W Pinheiro dos Santos, W. P. Santos, W. P. dos Santos, W.P. Santos, W.P. dos Santos, Wellington Pinheiro dos Santos, Wellington P Santos, Wellington P. Dos Santos, Wellington P. Santos, Wellington P. dos Santos, Wellington Pinheiro Dos Santos, Wellington Pinheiro Santos, Wellington Pinheiros dos Santos, Wellington Santos
Observed institutions: North Carolina State University, Chinese University of Hong Kong, Universidade Federal de Pernambuco, Institute of Electrical and Electronics Engineers, Sulaimani Polytechnic University, Universidade Federal de Campina Grande, Universidade de Pernambuco
ORCID: 0000-0003-2558-6602
Observed ORCID: 0000-0003-2558-6602
OpenAlex ID: A5079449019
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure
2018 · Olivier Commowick, Audrey Istace, et al. · Scientific Reports · 310
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Breast cancer diagnosis based on mammary thermography and extreme learning machines
2018 · Maíra Araújo de Santana, Jessiane Mônica Silva Pereira, et al. · Research on Biomedical Engineering · 106
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Detection and classification of masses in mammographic images in a multi-kernel approach
2016 · Sidney M.L. de Lima, Abel G. da Silva-Filho, et al. · Computer Methods and Programs in Biomedicine · 103
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Heg.IA: an intelligent system to support diagnosis of Covid-19 based on blood tests
2021 · Valter Augusto de Freitas Barbosa, Juliana Carneiro Gomes, et al. · Research on Biomedical Engineering · 84
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Detection of major depressive disorder, bipolar disorder, schizophrenia and generalized anxiety disorder using vocal acoustic analysis and machine learning: an exploratory study
2022 · Caroline Wanderley Espinola, Juliana Carneiro Gomes, et al. · Research on Biomedical Engineering · 74
IKONOS: an intelligent tool to support diagnosis of COVID-19 by texture analysis of X-ray images
2020 · Juliana C. Gomes, Valter A. de F. Barbosa, et al. · Research on Biomedical Engineering · 74
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Early diagnosis of Parkinson’s disease using EEG, machine learning and partial directed coherence
2020 · Ana Paula S. de Oliveira, Maíra Araújo de Santana, et al. · Research on Biomedical Engineering · 70
Model Based on Deep Feature Extraction for Diagnosis of Alzheimer’s Disease
2019 · Iago R. R. Silva, Gabriela S. L. Silva, et al. · International Joint Conference on Neural Networks (IJCNN) · 68
Detection of major depressive disorder using vocal acoustic analysis and machine learning—an exploratory study
2020 · Caroline Wanderley Espinola, Juliana Carneiro Gomes, et al. · Research on Biomedical Engineering · 64
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images
2016 · Filipe R. Cordeiro, Wellington P. Santos, et al. · Expert Systems with Applications · 53
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Covid-19 rapid test by combining a Random Forest-based web system and blood tests
2021 · Valter Augusto de Freitas Barbosa, Juliana Carneiro Gomes, et al. · Journal of Biomolecular Structure and Dynamics · 43
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Deep convolutional extreme learning machines: Filters combination and error model validation
2018 · Michel M. dos Santos, Abel G. da Silva Filho, et al. · Neurocomputing · 42
Covid-19 diagnosis by combining RT-PCR and pseudo-convolutional machines to characterize virus sequences
2021 · Juliana Carneiro Gomes, Aras Ismael Masood, et al. · Scientific Reports · 41
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Image Segmentation Techniques for Healthcare Systems
2019 · Orazio Gambino, Vincenzo Conti, et al. · Journal of Healthcare Engineering · 41
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Breast cancer diagnosis using thermal image analysis: A data-driven approach based on swarm intelligence and supervised learning for optimized feature selection
2021 · Mariana Macedo, Maira Santana, et al. · Applied Soft Computing · 40
Detection and classification of mammary lesions using artificial neural networks and morphological wavelets
2018 · T. N. Cruz, T. M. Cruz, et al. · IEEE Latin America Transactions · 40
Analysis of Methods of Classification of Breast Thermographic Images to Determine their Viability in the Early Breast Cancer Detection
2018 · J. H. de Vasconcelos, W. P. dos Santos, et al. · IEEE Latin America Transactions · 38
Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms
2015 · Washington W. Azevedo, Sidney M. L. Lima, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · 38
Vocal acoustic analysis and machine learning for the identification of schizophrenia
2020 · Caroline Wanderley Espinola, Juliana Carneiro Gomes, et al. · Research on Biomedical Engineering · 37
Identification of mammary lesions in thermographic images: feature selection study using genetic algorithms and particle swarm optimization
2019 · Amanda L. Rodrigues, Maíra A. de Santana, et al. · Research on Biomedical Engineering · 36
Covid-19 Dynamic Monitoring and Real-Time Spatio-Temporal Forecasting
2021 · Cecilia Cordeiro da Silva, Clarisse Lins de Lima, et al. · Frontiers in Public Health · 35
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Exploratory study of the effect of binaural beat stimulation on the EEG activity pattern in resting state using artificial neural networks
2018 · Maurício da Silva Junior, Rafaela Covello de Freitas, et al. · Cognitive Systems Research · 35
A methodology for classification of lesions in mammographies using Zernike Moments, ELM and SVM Neural Networks in a multi-kernel approach
2014 · Sidney M. L. de Lima, Abel G. da Silva-Filho, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 33
Biomedical Signal Processing: A Modern Approach
2023 · Ganesh R. Naik, Wellington Pinheiro dos Santos · CRC Press eBooks · 31
Deep-wavelet neural networks for breast cancer early diagnosis using mammary termographies
2020 · Valter Augusto de Freitas Barbosa, Maíra Araújo de Santana, et al. · Elsevier eBooks · 31
Works count: 274
Citation count: 2,731
H-index: 28
I10-index: 76
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