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 *

147 related articles for article (PubMed ID: 37203643)

  • 1. Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification.
    Bickmann L; Plagwitz L; Varghese J
    Stud Health Technol Inform; 2023 May; 302():182-186. PubMed ID: 37203643
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL.
    Strodthoff N; Wagner P; Schaeffter T; Samek W
    IEEE J Biomed Health Inform; 2021 May; 25(5):1519-1528. PubMed ID: 32903191
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fourier space approach for convolutional neural network (CNN) electrocardiogram (ECG) classification: A proof-of-concept study.
    Kent M; Vasconcelos L; Ansari S; Ghanbari H; Nenadic I
    J Electrocardiol; 2023; 80():24-33. PubMed ID: 37141727
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning models of 6-lead ECGs for the interpretation of left ventricular hypertrophy (LVH).
    Dwivedi T; Xue J; Treiman D; Dubey A; Albert D
    J Electrocardiol; 2023; 77():62-67. PubMed ID: 36641988
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Performance of a convolutional neural network derived from an ECG database in recognizing myocardial infarction.
    Makimoto H; Höckmann M; Lin T; Glöckner D; Gerguri S; Clasen L; Schmidt J; Assadi-Schmidt A; Bejinariu A; Müller P; Angendohr S; Babady M; Brinkmeyer C; Makimoto A; Kelm M
    Sci Rep; 2020 May; 10(1):8445. PubMed ID: 32439873
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comprehensive electrocardiographic diagnosis based on deep learning.
    Lih OS; Jahmunah V; San TR; Ciaccio EJ; Yamakawa T; Tanabe M; Kobayashi M; Faust O; Acharya UR
    Artif Intell Med; 2020 Mar; 103():101789. PubMed ID: 32143796
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Enhancing ECG signal classification through pre-trained stacked-CNN embeddings: a transfer learning approach.
    Benchaira K; Bitam S
    Biomed Phys Eng Express; 2024 May; 10(4):. PubMed ID: 38640904
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG.
    Zvuloni E; Read J; Ribeiro AH; Ribeiro ALP; Behar JA
    IEEE Trans Biomed Eng; 2023 Jul; 70(7):2227-2236. PubMed ID: 37022038
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel deep learning package for electrocardiography research.
    Wen H; Kang J
    Physiol Meas; 2022 Nov; 43(11):. PubMed ID: 36137539
    [No Abstract]   [Full Text] [Related]  

  • 10. Application of artificial intelligence techniques for automated detection of myocardial infarction: a review.
    Hassannataj Joloudari J; Mojrian S; Nodehi I; Mashmool A; Kiani Zadegan Z; Khanjani Shirkharkolaie S; Alizadehsani R; Tamadon T; Khosravi S; Akbari Kohnehshari M; Hassannatajjeloudari E; Sharifrazi D; Mosavi A; Loh HW; Tan RS; Acharya UR
    Physiol Meas; 2022 Aug; 43(8):. PubMed ID: 35803247
    [No Abstract]   [Full Text] [Related]  

  • 11. A fully-automated paper ECG digitisation algorithm using deep learning.
    Wu H; Patel KHK; Li X; Zhang B; Galazis C; Bajaj N; Sau A; Shi X; Sun L; Tao Y; Al-Qaysi H; Tarusan L; Yasmin N; Grewal N; Kapoor G; Waks JW; Kramer DB; Peters NS; Ng FS
    Sci Rep; 2022 Dec; 12(1):20963. PubMed ID: 36471089
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An interpretable shapelets-based method for myocardial infarction detection using dynamic learning and deep learning.
    Qu J; Sun Q; Wu W; Zhang F; Liang C; Chen Y; Wang C
    Physiol Meas; 2024 Mar; 45(3):. PubMed ID: 38266290
    [No Abstract]   [Full Text] [Related]  

  • 13. Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model.
    Hammad M; Chelloug SA; Alkanhel R; Prakash AJ; Muthanna A; Elgendy IA; Pławiak P
    Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080960
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks.
    Chen KW; Bear L; Lin CW
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336502
    [TBL] [Abstract][Full Text] [Related]  

  • 15. ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset.
    Śmigiel S; Pałczyński K; Ledziński D
    Entropy (Basel); 2021 Aug; 23(9):. PubMed ID: 34573746
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.
    Iqbal U; Wah TY; Habib Ur Rehman M; Mujtaba G; Imran M; Shoaib M
    J Med Syst; 2018 Nov; 42(12):252. PubMed ID: 30397730
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.
    Hong S; Zhou Y; Shang J; Xiao C; Sun J
    Comput Biol Med; 2020 Jul; 122():103801. PubMed ID: 32658725
    [TBL] [Abstract][Full Text] [Related]  

  • 18. LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector.
    Ammour N; Alhichri H; Bazi Y; Alajlan N
    Comput Biol Med; 2021 Oct; 137():104807. PubMed ID: 34496312
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ECG Biometrics Using Deep Learning and Relative Score Threshold Classification.
    Belo D; Bento N; Silva H; Fred A; Gamboa H
    Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32707861
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Novel deep neural network based pattern field classification architectures.
    Huang K; Zhang S; Zhang R; Hussain A
    Neural Netw; 2020 Jul; 127():82-95. PubMed ID: 32344155
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.