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 *

130 related articles for article (PubMed ID: 37624777)

  • 1. Early Diagnosis: End-to-End CNN-LSTM Models for Mass Spectrometry Data Classification.
    Seddiki K; Precioso FE; Sanabria M; Salzet M; Fournier I; Droit A
    Anal Chem; 2023 Sep; 95(36):13431-13437. PubMed ID: 37624777
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Investigation of Deep Learning Models for EEG-Based Emotion Recognition.
    Zhang Y; Chen J; Tan JH; Chen Y; Chen Y; Li D; Yang L; Su J; Huang X; Che W
    Front Neurosci; 2020; 14():622759. PubMed ID: 33424547
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Deep learning networks based decision fusion model of EEG and fNIRS for classification of cognitive tasks.
    Rabbani MHR; Islam SMR
    Cogn Neurodyn; 2024 Aug; 18(4):1489-1506. PubMed ID: 39104699
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cumulative learning enables convolutional neural network representations for small mass spectrometry data classification.
    Seddiki K; Saudemont P; Precioso F; Ogrinc N; Wisztorski M; Salzet M; Fournier I; Droit A
    Nat Commun; 2020 Nov; 11(1):5595. PubMed ID: 33154370
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MuLHiTA: A Novel Multiclass Classification Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress.
    Xia L; Feng Y; Guo Z; Ding J; Li Y; Li Y; Ma M; Gan G; Xu Y; Luo J; Shi Z; Guan Y
    IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):9657-9670. PubMed ID: 35385389
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ECG-based cardiac arrhythmias detection through ensemble learning and fusion of deep spatial-temporal and long-range dependency features.
    Din S; Qaraqe M; Mourad O; Qaraqe K; Serpedin E
    Artif Intell Med; 2024 Apr; 150():102818. PubMed ID: 38553158
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using discrete wavelet transform for optimizing COVID-19 new cases and deaths prediction worldwide with deep neural networks.
    Sperandio Nascimento EG; Ortiz J; Furtado AN; Frias D
    PLoS One; 2023; 18(4):e0282621. PubMed ID: 37023075
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Novel Deep Learning Network for Gait Recognition Using Multimodal Inertial Sensors.
    Shi LF; Liu ZY; Zhou KJ; Shi Y; Jing X
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679646
    [TBL] [Abstract][Full Text] [Related]  

  • 10. DeepIso: A Deep Learning Model for Peptide Feature Detection from LC-MS map.
    Zohora FT; Rahman MZ; Tran NH; Xin L; Shan B; Li M
    Sci Rep; 2019 Nov; 9(1):17168. PubMed ID: 31748623
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods.
    Buyuk C; Arican Alpay B; Er F
    Dentomaxillofac Radiol; 2023 Feb; 52(3):20220209. PubMed ID: 36688738
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Interpretable Deep Learning Approach for Biomarker Detection in LC-MS Proteomics Data.
    Iravani S; Conrad TOF
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):151-161. PubMed ID: 35007196
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level.
    Ehteram M; Ghanbari-Adivi E
    Environ Sci Pollut Res Int; 2023 Aug; 30(40):92903-92921. PubMed ID: 37501025
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cohort selection for clinical trials using hierarchical neural network.
    Xiong Y; Shi X; Chen S; Jiang D; Tang B; Wang X; Chen Q; Yan J
    J Am Med Inform Assoc; 2019 Nov; 26(11):1203-1208. PubMed ID: 31305921
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated Detection of Rehabilitation Exercise by Stroke Patients Using 3-Layer CNN-LSTM Model.
    Rahman ZU; Ullah SI; Salam A; Rahman T; Khan I; Niazi B
    J Healthc Eng; 2022; 2022():1563707. PubMed ID: 35154616
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN-LSTM model.
    Arjun KP; Kumar KS; Dhanaraj RK; Ravi V; Kumar TG
    Microsc Res Tech; 2024 Aug; 87(8):1789-1809. PubMed ID: 38515433
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of PM
    Bai X; Zhang N; Cao X; Chen W
    PeerJ; 2024; 12():e17811. PubMed ID: 39131620
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling.
    Ishida K; Ercan A; Nagasato T; Kiyama M; Amagasaki M
    J Environ Manage; 2024 May; 359():120931. PubMed ID: 38678895
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks.
    Sharan RV; Xiong H; Berkovsky S
    Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34069189
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data.
    Kim T; Kim HY
    PLoS One; 2019; 14(2):e0212320. PubMed ID: 30768647
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.