{
  "id": 612893,
  "title": "Challenge papers and related ECG Digitization Kit",
  "url": "/competitions/physionet-ecg-image-digitization/discussion/612893",
  "author_name": "",
  "post_date": "2025-10-22T19:57:30.814220800Z",
  "votes": -6,
  "comment_count": 1,
  "views": 0,
  "content": "<p>The <em>Official</em> Challenge papers describing the competition and the dataset are:</p>\n<p><strong><em><strong>Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge 2024</strong></em></strong><br>\n**Authors: **Matthew A. Reyna, Deepanshi, James Weigle, Zuzana Koscova, Kiersten Campbell, Salman Seyedi, Andoni Elola, Ali Bahrami Rad, Amit J. Shah, Neal K. Bhatia, Gari D. Clifford, Reza Sameni<br>\n**Published: **Computing in Cardiology 2024; 51: 1-4<br>\n<strong>Reference:</strong> <a href=\"https://www.semanticscholar.org/paper/Digitization-and-Classification-of-ECG-Images:-The-Reyna-Deepanshi/a249946a326fd8a3a0c5ee75fbc536b9537b0f41\" target=\"_blank\">CinC2024-011.pdf</a></p>\n<p><strong><em><strong><em>ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis</em></strong></em></strong><br>\n**Authors: ** Reyna MA, Deepanshi, Weigle J, Koscova Z, Campbell K, Shivashankara KK, et al.<br>\n<strong>Reference:</strong> <a href=\"https://arxiv.org/html/2409.16612v1\" target=\"_blank\">arXiv:2409.16612</a><br>\n**Description: **Foundation dataset for computerized ECG image digitization and analysis</p>\n<p>An ECG Image Kit was also introduced during the competition, providing a benchmark implementation </p>\n<p><strong><em>ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization</em></strong><br>\n**Authors: ** Shivashankara KK, Deepanshi, Shervedani AM, Reyna MA, Clifford GD, Sameni R<br>\n<strong>Published:</strong> Physiological Measurement 2024; 45:055019<br>\n<strong>DOI:</strong> 10.1088/1361-6579/ad4954, <a href=\"https://arxiv.org/abs/2307.01946\" target=\"_blank\">arxiv</a><br>\n<strong>GitHub:</strong> <a href=\"https://github.com/alphanumericslab/ecg-image-kit\" target=\"_blank\">https://github.com/alphanumericslab/ecg-image-kit</a></p>",
  "messages": [
    {
      "id": "3305476",
      "postDate": "10/22/2025 19:57:30",
      "content": "<p>The <em>Official</em> Challenge papers describing the competition and the dataset are:</p>\n<p><strong><em><strong>Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge 2024</strong></em></strong><br>\n**Authors: **Matthew A. Reyna, Deepanshi, James Weigle, Zuzana Koscova, Kiersten Campbell, Salman Seyedi, Andoni Elola, Ali Bahrami Rad, Amit J. Shah, Neal K. Bhatia, Gari D. Clifford, Reza Sameni<br>\n**Published: **Computing in Cardiology 2024; 51: 1-4<br>\n<strong>Reference:</strong> <a href=\"https://www.semanticscholar.org/paper/Digitization-and-Classification-of-ECG-Images:-The-Reyna-Deepanshi/a249946a326fd8a3a0c5ee75fbc536b9537b0f41\" target=\"_blank\">CinC2024-011.pdf</a></p>\n<p><strong><em><strong><em>ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis</em></strong></em></strong><br>\n**Authors: ** Reyna MA, Deepanshi, Weigle J, Koscova Z, Campbell K, Shivashankara KK, et al.<br>\n<strong>Reference:</strong> <a href=\"https://arxiv.org/html/2409.16612v1\" target=\"_blank\">arXiv:2409.16612</a><br>\n**Description: **Foundation dataset for computerized ECG image digitization and analysis</p>\n<p>An ECG Image Kit was also introduced during the competition, providing a benchmark implementation </p>\n<p><strong><em>ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization</em></strong><br>\n**Authors: ** Shivashankara KK, Deepanshi, Shervedani AM, Reyna MA, Clifford GD, Sameni R<br>\n<strong>Published:</strong> Physiological Measurement 2024; 45:055019<br>\n<strong>DOI:</strong> 10.1088/1361-6579/ad4954, <a href=\"https://arxiv.org/abs/2307.01946\" target=\"_blank\">arxiv</a><br>\n<strong>GitHub:</strong> <a href=\"https://github.com/alphanumericslab/ecg-image-kit\" target=\"_blank\">https://github.com/alphanumericslab/ecg-image-kit</a></p>",
      "rawMarkdown": "The *Official* Challenge papers describing the competition and the dataset are:\n\n*****Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge 2024*****\n**Authors: **Matthew A. Reyna, Deepanshi, James Weigle, Zuzana Koscova, Kiersten Campbell, Salman Seyedi, Andoni Elola, Ali Bahrami Rad, Amit J. Shah, Neal K. Bhatia, Gari D. Clifford, Reza Sameni\n**Published: **Computing in Cardiology 2024; 51: 1-4\n**Reference:** [CinC2024-011.pdf](https://www.semanticscholar.org/paper/Digitization-and-Classification-of-ECG-Images:-The-Reyna-Deepanshi/a249946a326fd8a3a0c5ee75fbc536b9537b0f41)\n\n\n******ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis******\n**Authors: ** Reyna MA, Deepanshi, Weigle J, Koscova Z, Campbell K, Shivashankara KK, et al.\n**Reference:** [arXiv:2409.16612](https://arxiv.org/html/2409.16612v1)\n**Description: **Foundation dataset for computerized ECG image digitization and analysis\n\nAn ECG Image Kit was also introduced during the competition, providing a benchmark implementation \n\n***ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization***\n**Authors: ** Shivashankara KK, Deepanshi, Shervedani AM, Reyna MA, Clifford GD, Sameni R\n**Published:** Physiological Measurement 2024; 45:055019\n**DOI:** 10.1088/1361-6579/ad4954, [arxiv](https://arxiv.org/abs/2307.01946)\n**GitHub:** https://github.com/alphanumericslab/ecg-image-kit",
      "votes": null
    },
    {
      "id": "3305483",
      "postDate": "10/22/2025 20:20:05",
      "content": "<p>The accurate and official citations are already under the Overview tab. Please refer to them.</p>",
      "rawMarkdown": "The accurate and official citations are already under the Overview tab. Please refer to them.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3305483,
      "author_name": "r2241272",
      "author_url": "",
      "post_date": "10/22/2025 20:20:05",
      "content": "<p>The accurate and official citations are already under the Overview tab. Please refer to them.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3305476": "The *Official* Challenge papers describing the competition and the dataset are:\n\n*****Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge 2024*****\n**Authors: **Matthew A. Reyna, Deepanshi, James Weigle, Zuzana Koscova, Kiersten Campbell, Salman Seyedi, Andoni Elola, Ali Bahrami Rad, Amit J. Shah, Neal K. Bhatia, Gari D. Clifford, Reza Sameni\n**Published: **Computing in Cardiology 2024; 51: 1-4\n**Reference:** [CinC2024-011.pdf](https://www.semanticscholar.org/paper/Digitization-and-Classification-of-ECG-Images:-The-Reyna-Deepanshi/a249946a326fd8a3a0c5ee75fbc536b9537b0f41)\n\n\n******ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis******\n**Authors: ** Reyna MA, Deepanshi, Weigle J, Koscova Z, Campbell K, Shivashankara KK, et al.\n**Reference:** [arXiv:2409.16612](https://arxiv.org/html/2409.16612v1)\n**Description: **Foundation dataset for computerized ECG image digitization and analysis\n\nAn ECG Image Kit was also introduced during the competition, providing a benchmark implementation \n\n***ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization***\n**Authors: ** Shivashankara KK, Deepanshi, Shervedani AM, Reyna MA, Clifford GD, Sameni R\n**Published:** Physiological Measurement 2024; 45:055019\n**DOI:** 10.1088/1361-6579/ad4954, [arxiv](https://arxiv.org/abs/2307.01946)\n**GitHub:** https://github.com/alphanumericslab/ecg-image-kit",
    "3305483": "The accurate and official citations are already under the Overview tab. Please refer to them."
  },
  "source": "meta"
}