Pinto MF - Search Results

1

Prediction of disease progression and outcomes in multiple sclerosis with machine learning.

Pinto MF, Oliveira H, Batista S, Cruz L, Pinto M, Correia I, Martins P, Teixeira C. Pinto MF, et al. Among authors: pinto m. Sci Rep. 2020 Dec 3;10(1):21038. doi: 10.1038/s41598-020-78212-6. Sci Rep. 2020. PMID: 33273676 Free PMC article.

2

A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction.

Pinto MF, Leal A, Lopes F, Dourado A, Martins P, Teixeira CA. Pinto MF, et al. Sci Rep. 2021 Feb 9;11(1):3415. doi: 10.1038/s41598-021-82828-7. Sci Rep. 2021. PMID: 33564050 Free PMC article.

3

Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy.

Leal A, Pinto MF, Lopes F, Bianchi AM, Henriques J, Ruano MG, de Carvalho P, Dourado A, Teixeira CA. Leal A, et al. Among authors: pinto mf. Sci Rep. 2021 Mar 16;11(1):5987. doi: 10.1038/s41598-021-85350-y. Sci Rep. 2021. PMID: 33727606 Free PMC article.

4

Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components.

Lopes F, Leal A, Medeiros J, Pinto MF, Dourado A, Dumpelmann M, Teixeira C. Lopes F, et al. Among authors: pinto mf. IEEE Trans Neural Syst Rehabil Eng. 2022;30:559-568. doi: 10.1109/TNSRE.2022.3154891. Epub 2022 Mar 21. IEEE Trans Neural Syst Rehabil Eng. 2022. PMID: 35213313

5

Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm.

Pinto M, Coelho T, Leal A, Lopes F, Dourado A, Martins P, Teixeira C. Pinto M, et al. Sci Rep. 2022 Mar 15;12(1):4420. doi: 10.1038/s41598-022-08322-w. Sci Rep. 2022. PMID: 35292691 Free PMC article.

6

On the clinical acceptance of black-box systems for EEG seizure prediction.

Pinto MF, Leal A, Lopes F, Pais J, Dourado A, Sales F, Martins P, Teixeira CA. Pinto MF, et al. Epilepsia Open. 2022 Jun;7(2):247-259. doi: 10.1002/epi4.12597. Epub 2022 Apr 11. Epilepsia Open. 2022. PMID: 35377561 Free PMC article. Review.

7

EPIC: Annotated epileptic EEG independent components for artifact reduction.

Lopes F, Leal A, Medeiros J, Pinto MF, Dourado A, Dümpelmann M, Teixeira C. Lopes F, et al. Among authors: pinto mf. Sci Data. 2022 Aug 20;9(1):512. doi: 10.1038/s41597-022-01524-x. Sci Data. 2022. PMID: 35987693 Free PMC article.

8

Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy.

Leal A, Curty J, Lopes F, Pinto MF, Oliveira A, Sales F, Bianchi AM, Ruano MG, Dourado A, Henriques J, Teixeira CA. Leal A, et al. Among authors: pinto mf. Sci Rep. 2023 Jan 16;13(1):784. doi: 10.1038/s41598-022-23902-6. Sci Rep. 2023. PMID: 36646727 Free PMC article.

9

Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models.

Lopes F, Leal A, Pinto MF, Dourado A, Schulze-Bonhage A, Dümpelmann M, Teixeira C. Lopes F, et al. Among authors: pinto mf. Sci Rep. 2023 Apr 11;13(1):5918. doi: 10.1038/s41598-023-30864-w. Sci Rep. 2023. PMID: 37041158 Free PMC article.

10

The goal of explaining black boxes in EEG seizure prediction is not to explain models' decisions.

Pinto MF, Batista J, Leal A, Lopes F, Oliveira A, Dourado A, Abuhaiba SI, Sales F, Martins P, Teixeira CA. Pinto MF, et al. Epilepsia Open. 2023 Jun;8(2):285-297. doi: 10.1002/epi4.12748. Epub 2023 Apr 27. Epilepsia Open. 2023. PMID: 37073831 Free PMC article. Review.

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