136 related articles for article (PubMed ID: 38225340)
1. A ResNet-LSTM hybrid model for predicting epileptic seizures using a pretrained model with supervised contrastive learning.
Lee D; Kim B; Kim T; Joe I; Chong J; Min K; Jung K
Sci Rep; 2024 Jan; 14(1):1319. PubMed ID: 38225340
[TBL] [Abstract][Full Text] [Related]
2. [Construction of an epileptic seizure prediction model using a semi-supervised method of generative adversarial and long short term memory network combined with Stockwell transform].
Liao J; Li H; Zhan C; Yang F
Nan Fang Yi Ke Da Xue Xue Bao; 2023 Jan; 43(1):17-28. PubMed ID: 36856206
[TBL] [Abstract][Full Text] [Related]
3. An Epileptic Seizure Prediction Method Based on CBAM-3D CNN-LSTM Model.
Lu X; Wen A; Sun L; Wang H; Guo Y; Ren Y
IEEE J Transl Eng Health Med; 2023; 11():417-423. PubMed ID: 37426305
[TBL] [Abstract][Full Text] [Related]
4. Detection and classification of adult epilepsy using hybrid deep learning approach.
Srinivasan S; Dayalane S; Mathivanan SK; Rajadurai H; Jayagopal P; Dalu GT
Sci Rep; 2023 Oct; 13(1):17574. PubMed ID: 37845403
[TBL] [Abstract][Full Text] [Related]
5. A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals.
Tsiouris ΚΜ; Pezoulas VC; Zervakis M; Konitsiotis S; Koutsouris DD; Fotiadis DI
Comput Biol Med; 2018 Aug; 99():24-37. PubMed ID: 29807250
[TBL] [Abstract][Full Text] [Related]
6. An epileptic seizure prediction model based on a time-wise attention simulation module and a pretrained ResNet.
Jiang Y; Lu Y; Yang L
Methods; 2022 Jun; 202():117-126. PubMed ID: 34274447
[TBL] [Abstract][Full Text] [Related]
7. CLEP: Contrastive Learning for Epileptic Seizure Prediction Using a Spatio-Temporal-Spectral Network.
Guo L; Yu T; Zhao S; Li X; Liao X; Li Y
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():3915-3926. PubMed ID: 37796668
[TBL] [Abstract][Full Text] [Related]
8. Residual and bidirectional LSTM for epileptic seizure detection.
Zhao W; Wang WF; Patnaik LM; Zhang BC; Weng SJ; Xiao SX; Wei DZ; Zhou HF
Front Comput Neurosci; 2024; 18():1415967. PubMed ID: 38952709
[TBL] [Abstract][Full Text] [Related]
9. Epileptic Seizure Detection Based on Path Signature and Bi-LSTM Network With Attention Mechanism.
Tang Y; Wu Q; Mao H; Guo L
IEEE Trans Neural Syst Rehabil Eng; 2024; 32():304-313. PubMed ID: 38224524
[TBL] [Abstract][Full Text] [Related]
10. Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion.
Yu Z; Albera L; Le Bouquin Jeannes R; Kachenoura A; Karfoul A; Yang C; Shu H
Int J Neural Syst; 2022 Jul; 32(7):2250032. PubMed ID: 35695914
[TBL] [Abstract][Full Text] [Related]
11. Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals.
Anuragi A; Sisodia DS; Pachori RB
Comput Biol Med; 2021 Sep; 136():104708. PubMed ID: 34358996
[TBL] [Abstract][Full Text] [Related]
12. Patient-Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning.
Zhao Y; Li C; Liu X; Qian R; Song R; Chen X
IEEE Trans Neural Syst Rehabil Eng; 2022; 30():1536-1547. PubMed ID: 35657835
[TBL] [Abstract][Full Text] [Related]
13. Early prediction of epileptic seizures using a long-term recurrent convolutional network.
Wei X; Zhou L; Zhang Z; Chen Z; Zhou Y
J Neurosci Methods; 2019 Nov; 327():108395. PubMed ID: 31408651
[TBL] [Abstract][Full Text] [Related]
14. Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning.
Cura OK; Akan A
Int J Neural Syst; 2021 May; 31(5):2150005. PubMed ID: 33522458
[TBL] [Abstract][Full Text] [Related]
15. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
16. A Semi-Supervised Few-Shot Learning Model for Epileptic Seizure Detection.
Zhang Z; Li X; Geng F; Huang K
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():600-603. PubMed ID: 34891365
[TBL] [Abstract][Full Text] [Related]
17. A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals.
Khademi Z; Ebrahimi F; Kordy HM
Comput Biol Med; 2022 Apr; 143():105288. PubMed ID: 35168083
[TBL] [Abstract][Full Text] [Related]
18. Seizure Prediction using Convolutional Neural Networks and Sequence Transformer Networks.
Chen R; Parhi KK
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():6483-6486. PubMed ID: 34892595
[TBL] [Abstract][Full Text] [Related]
19. Hybrid Network for Patient-Specific Seizure Prediction from EEG Data.
Zhang Y; Xiao T; Wang Z; Lv H; Wang S; Feng H; Zhao S; Zhao Y
Int J Neural Syst; 2023 Nov; 33(11):2350056. PubMed ID: 37899653
[TBL] [Abstract][Full Text] [Related]
20. A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network.
Ra JS; Li T; YanLi
Comput Methods Programs Biomed; 2023 Oct; 240():107678. PubMed ID: 37418802
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]