These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 38289842)

  • 1. Subject-Independent Deep Architecture for EEG-Based Motor Imagery Classification.
    Sartipi S; Cetin M
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():718-727. PubMed ID: 38289842
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
    She Q; Zou J; Luo Z; Nguyen T; Li R; Zhang Y
    Med Biol Eng Comput; 2020 Sep; 58(9):2119-2130. PubMed ID: 32676841
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A hierarchical semi-supervised extreme learning machine method for EEG recognition.
    She Q; Hu B; Luo Z; Nguyen T; Zhang Y
    Med Biol Eng Comput; 2019 Jan; 57(1):147-157. PubMed ID: 30054779
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-supervised multi-source transfer learning for cross-subject EEG motor imagery classification.
    Zhang F; Wu H; Guo Y
    Med Biol Eng Comput; 2024 Jun; 62(6):1655-1672. PubMed ID: 38324109
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Subject adaptation convolutional neural network for EEG-based motor imagery classification.
    Liu S; Zhang J; Wang A; Wu H; Zhao Q; Long J
    J Neural Eng; 2022 Nov; 19(6):. PubMed ID: 36270467
    [No Abstract]   [Full Text] [Related]  

  • 6. MI-DABAN: A dual-attention-based adversarial network for motor imagery classification.
    Li H; Zhang D; Xie J
    Comput Biol Med; 2023 Jan; 152():106420. PubMed ID: 36529022
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Unsupervised and semi-supervised domain adaptation networks considering both global knowledge and prototype-based local class information for Motor Imagery Classification.
    Zhang D; Li H; Xie J
    Neural Netw; 2024 Nov; 179():106497. PubMed ID: 38986186
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition.
    Li W; Li H; Sun X; Kang H; An S; Wang G; Gao Z
    J Neural Eng; 2024 Apr; 21(2):. PubMed ID: 38565100
    [No Abstract]   [Full Text] [Related]  

  • 9. Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification.
    Liu X; Lv L; Shen Y; Xiong P; Yang J; Liu J
    J Neural Eng; 2021 Feb; 18(2):. PubMed ID: 33395676
    [No Abstract]   [Full Text] [Related]  

  • 10. An improved self-supervised learning for EEG classification.
    Ou Y; Sun S; Gan H; Zhou R; Yang Z
    Math Biosci Eng; 2022 May; 19(7):6907-6922. PubMed ID: 35730288
    [TBL] [Abstract][Full Text] [Related]  

  • 11. EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification.
    Zhang C; Kim YK; Eskandarian A
    J Neural Eng; 2021 Mar; 18(4):. PubMed ID: 33691299
    [No Abstract]   [Full Text] [Related]  

  • 12. Three-stage transfer learning for motor imagery EEG recognition.
    Li J; She Q; Meng M; Du S; Zhang Y
    Med Biol Eng Comput; 2024 Jun; 62(6):1689-1701. PubMed ID: 38342784
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification.
    Autthasan P; Chaisaen R; Sudhawiyangkul T; Rangpong P; Kiatthaveephong S; Dilokthanakul N; Bhakdisongkhram G; Phan H; Guan C; Wilaiprasitporn T
    IEEE Trans Biomed Eng; 2022 Jun; 69(6):2105-2118. PubMed ID: 34932469
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Motor imagery EEG classification based on ensemble support vector learning.
    Luo J; Gao X; Zhu X; Wang B; Lu N; Wang J
    Comput Methods Programs Biomed; 2020 Sep; 193():105464. PubMed ID: 32283387
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Online semi-supervised learning for motor imagery EEG classification.
    Zhang L; Li C; Zhang R; Sun Q
    Comput Biol Med; 2023 Oct; 165():107405. PubMed ID: 37678137
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Explainable cross-task adaptive transfer learning for motor imagery EEG classification.
    Miao M; Yang Z; Zeng H; Zhang W; Xu B; Hu W
    J Neural Eng; 2023 Nov; 20(6):. PubMed ID: 37963394
    [No Abstract]   [Full Text] [Related]  

  • 17. EEG-Based Motor Imagery Recognition Framework via Multisubject Dynamic Transfer and Iterative Self-Training.
    Wang H; Chen P; Zhang M; Zhang J; Sun X; Li M; Yang X; Gao Z
    IEEE Trans Neural Netw Learn Syst; 2024 Aug; 35(8):10698-10712. PubMed ID: 37027653
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Unsupervised Deep-Transfer-Learning-Based Motor Imagery EEG Classification Scheme for Brain-Computer Interface.
    Wang X; Yang R; Huang M
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336418
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A shallow mirror transformer for subject-independent motor imagery BCI.
    Luo J; Wang Y; Xia S; Lu N; Ren X; Shi Z; Hei X
    Comput Biol Med; 2023 Sep; 164():107254. PubMed ID: 37499295
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface.
    Nagarajan A; Robinson N; Ang KK; Chua KSG; Chew E; Guan C
    J Neural Eng; 2024 Jan; 21(1):. PubMed ID: 38091617
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.