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@DL4mHealth

Deep Learning for Mobile Health Lab

Deep Learning For Mobile Health Lab

Welcome to the Deep Learning For Mobile Health (DL4mHealth) Research Lab. We are committed to advancing the field of mobile health through the application of cutting-edge deep learning techniques. Our mission is to develop innovative solutions that harness the power of mobile devices and deep learning to improve healthcare access, delivery, and outcomes.

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  1. COMET COMET Public

    [Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series

    Jupyter Notebook 64 8

  2. Contrastive-Learning-in-Medical-Time-Series-Survey Contrastive-Learning-in-Medical-Time-Series-Survey Public

    A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series

    Jupyter Notebook 26 2

  3. Medformer Medformer Public

    [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification

    Jupyter Notebook 88 12

  4. SSL_Comparison SSL_Comparison Public

    A comparative study on Self-Supervised Learning for Time Series: Contrastive or Generative?

    Python 32 6

  5. SLOTS SLOTS Public

    Semi-Supervised End-to-End Contrastive Learning for Time Series Classification

    Python 26 1

  6. LEAD LEAD Public

    The World's First Foundational Model for EEG-based Alzheimer's Disease Detection

    Jupyter Notebook 18 1

Repositories

Showing 10 of 13 repositories
  • Medformer Public

    [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification

    DL4mHealth/Medformer’s past year of commit activity
    Jupyter Notebook 88 MIT 12 0 0 Updated Mar 3, 2025
  • LEAD Public

    The World's First Foundational Model for EEG-based Alzheimer's Disease Detection

    DL4mHealth/LEAD’s past year of commit activity
    Jupyter Notebook 18 1 1 0 Updated Feb 13, 2025
  • FORMED Public

    FORMED: Foundation Model Repuposed for Medical Time Series Classification

    DL4mHealth/FORMED’s past year of commit activity
    Python 0 0 0 0 Updated Nov 20, 2024
  • ADformer Public
    DL4mHealth/ADformer’s past year of commit activity
    Python 9 MIT 2 0 0 Updated Oct 21, 2024
  • MedTS_Evaluation Public

    Evaluate Medical Time Series with Subject-Independent instead of Subject-Dependent

    DL4mHealth/MedTS_Evaluation’s past year of commit activity
    Python 3 MIT 1 0 0 Updated Oct 13, 2024
  • TS-Contrastive-Augmentation-Recommendation Public

    Recommend effective augmentations for self-supervised contrastive learning tailored for your time series dataset

    DL4mHealth/TS-Contrastive-Augmentation-Recommendation’s past year of commit activity
    Python 4 MIT 1 0 0 Updated Jul 18, 2024
  • .github Public
    DL4mHealth/.github’s past year of commit activity
    1 0 0 0 Updated Jul 14, 2024
  • Contrastive-Learning-in-Medical-Time-Series-Survey Public

    A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series

    DL4mHealth/Contrastive-Learning-in-Medical-Time-Series-Survey’s past year of commit activity
    Jupyter Notebook 26 2 0 0 Updated Jul 14, 2024
  • EF-Net Public

    [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN

    DL4mHealth/EF-Net’s past year of commit activity
    Jupyter Notebook 19 2 0 0 Updated Jun 11, 2024
  • UnitNorm Public
    DL4mHealth/UnitNorm’s past year of commit activity
    Shell 4 MIT 0 0 0 Updated Feb 6, 2024

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