Search Results - "Teixeira, César A."

Epileptic seizure prediction using relative spectral power features by Bandarabadi, Mojtaba, Teixeira, César A, Rasekhi, Jalil, Dourado, António

“…Highlights • The proposed relative spectral power features resulted in an improved performance for seizure prediction. • The number of selected features was…”
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A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction by Pinto, Mauro. F., Leal, Adriana, Lopes, Fábio, Dourado, António, Martins, Pedro, Teixeira, César A.

“…Seizure prediction may improve the quality of life of patients suffering from drug-resistant epilepsy, which accounts for about 30% of the total epileptic…”
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A Realistic Seizure Prediction Study Based on Multiclass SVM by Direito, Bruno, Teixeira, César A, Sales, Francisco, Castelo-Branco, Miguel, Dourado, António

“…A patient-specific algorithm, for epileptic seizure prediction, based on multiclass support-vector machines (SVM) and using multi-channel high-dimensional…”
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Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy by Leal, Adriana, Pinto, Mauro F., Lopes, Fábio, Bianchi, Anna M., Henriques, Jorge, Ruano, Maria G., de Carvalho, Paulo, Dourado, António, Teixeira, César A.

“…Electrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal…”
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Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy by Leal, Adriana, Curty, Juliana, Lopes, Fábio, Pinto, Mauro F., Oliveira, Ana, Sales, Francisco, Bianchi, Anna M., Ruano, Maria G., Dourado, António, Henriques, Jorge, Teixeira, César A.

“…Typical seizure prediction models aim at discriminating interictal brain activity from pre-seizure electrographic patterns. Given the lack of a preictal…”
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On the proper selection of preictal period for seizure prediction by Bandarabadi, Mojtaba, Rasekhi, Jalil, Teixeira, César A, Karami, Mohammad R, Dourado, António

“…Abstract Supervised machine learning-based seizure prediction methods consider preictal period as an important prerequisite parameter during training. However,…”
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The goal of explaining black boxes in EEG seizure prediction is not to explain models' decisions by Pinto, Mauro F., Batista, Joana, Leal, Adriana, Lopes, Fábio, Oliveira, Ana, Dourado, António, Abuhaiba, Sulaiman I., Sales, Francisco, Martins, Pedro, Teixeira, César A.

“…Many state‐of‐the‐art methods for seizure prediction, using the electroencephalogram, are based on machine learning models that are black boxes, weakening the…”
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On the clinical acceptance of black‐box systems for EEG seizure prediction by Pinto, Mauro. F., Leal, Adriana, Lopes, Fábio, Pais, José, Dourado, António, Sales, Francisco, Martins, Pedro, Teixeira, César A.

“…Seizure prediction may be the solution for epileptic patients whose drugs and surgery do not control seizures. Despite 46 years of research, few…”
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Prolonged survival of allografts induced by mycobacterial Hsp70 is dependent on CD4+CD25+ regulatory T cells by Borges, Thiago J, Porto, Bárbara N, Teixeira, César A, Rodrigues, Marcelle, Machado, Felipe D, Ornaghi, Ana Paula, de Souza, Ana Paula D, Maito, Fabio, Pavanelli, Wander R, Silva, João S, Bonorino, Cristina

“…Heat shock proteins (Hsps) are stress induced proteins with immunomodulatory properties. The Hsp70 of Mycobacterium tuberculosis (TBHsp70) has been shown to…”
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Development of a Cyclic Voltammetry-Based Method for the Detection of Antigens and Antibodies as a Novel Strategy for Syphilis Diagnosis by Barros, Gabriel M C, Carvalho, Dionísio D A, Cruz, Agnaldo S, Morais, Ellen K L, Sales-Moioli, Ana Isabela L, Pinto, Talita K B, Almeida, Melise C D, Sanchez-Gendriz, Ignacio, Fernandes, Felipe, Barbalho, Ingridy M P, Santos, João P Q, Henriques, Jorge M O, Teixeira, César A D, Gil, Paulo, Gama, Lúcio, Miranda, Angélica E, Coutinho, Karilany D, Galvão-Lima, Leonardo J, Valentim, Ricardo A M

“…The improvement of laboratory diagnosis is a critical step for the reduction of syphilis cases around the world. In this paper, we present the development of…”
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Osteoporosis screening using machine learning and electromagnetic waves by Albuquerque, Gabriela A., Carvalho, Dionísio D. A., Cruz, Agnaldo S., Santos, João P. Q., Machado, Guilherme M., Gendriz, Ignácio S., Fernandes, Felipe R. S., Barbalho, Ingridy M. P., Santos, Marquiony M., Teixeira, César A. D., Henriques, Jorge M. O., Gil, Paulo, Neto, Adrião D. D., Campos, Antonio L. P. S., Lima, Josivan G., Paiva, Jailton C., Morais, Antonio H. F., Lima, Thaisa Santos, Valentim, Ricardo A. M.

“…Osteoporosis is a disease characterized by impairment of bone microarchitecture that causes high socioeconomic impacts in the world because of fractures and…”
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Epileptic Seizure Prediction based on Ratio and Differential Linear Univariate Features by Rasekhi, Jalil, Mollaei, Mohammad Reza Karami, Bandarabadi, Mojtaba, Teixeira, César A, Dourado, António

“…Bivariate features, obtained from multichannel electroencephalogram recordings, quantify the relation between different brain regions. Studies based on…”
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Automating orthogonal defect classification using machine learning algorithms by Lopes, Fábio, Agnelo, João, Teixeira, César A., Laranjeiro, Nuno, Bernardino, Jorge

“…Software systems are increasingly being used in business or mission critical scenarios, where the presence of certain types of software defects, i.e., bugs,…”
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Influence of temperature variations on the entropy and correlation of the Grey-Level Co-occurrence Matrix from B-Mode images by Alvarenga, André V., Teixeira, César A., Ruano, Maria Graça, Pereira, Wagner C.A.

“…In this work, the feasibility of texture parameters extracted from B-Mode images were explored in quantifying medium temperature variation. The goal is to…”
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A Soft-Computing Methodology for Noninvasive Time-Spatial Temperature Estimation by Teixeira, CÉsar A., Ruano, Maria GraÇa, Ruano, AntÓnio E., Pereira, Wagner C. A.

“…The safe and effective application of thermal therapies is restricted due to lack of reliable noninvasive temperature estimators. In this paper, the temporal…”
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Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction Performance by Oliveira, Ana, Pinto, Mauro F., Lopes, Fabio, Leal, Adriana, Teixeira, Cesar A.

“…Objective: Seizure prediction is a promising solution to improve the quality of life for drug-resistant patients, which concerns nearly 30% of patients with…”
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EPILEPSIAE – A European epilepsy database by Ihle, Matthias, Feldwisch-Drentrup, Hinnerk, Teixeira, César A, Witon, Adrien, Schelter, Björn, Timmer, Jens, Schulze-Bonhage, Andreas

“…Abstract With a worldwide prevalence of about 1%, epilepsy is one of the most common serious brain diseases with profound physical, psychological and, social…”
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Method for estimating average grey-level's measurement uncertainty from ultrasound images for non-invasive estimation of temperature in different tissue types by Alvarenga, André V., Teixeira, César A.D., von Krüger, Marco A., Pereira, Wagner. C.A.

“…•Ultrasound is a feasible tool for noninvasive thermometry.•To estimate measurement uncertainty in US noninvasive thermometry stills a challenge.•Average…”
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Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy by Teixeira, Cesar A., Correia, António Dourado Pereira, Cannas, Barbara, Fanni, A., Sias, G., Pisano, Fabio, Pisano, Barbara

“…The Nocturnal Frontal Lobe Epilepsy (NFLE) is a form of epilepsy in which seizures occur predominantly during sleep. In other forms of epilepsy, the commonly…”
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Neuro-genetic non-invasive temperature estimation: Intensity and spatial prediction by Teixeira, César A, Graça Ruano, M, Ruano, António E, Pereira, Wagner C.A

“…Summary Objectives The existence of proper non-invasive temperature estimators is an essential aspect when thermal therapy applications are envisaged. These…”
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