Research map: cAPM: Continual AI-assisted pace-mapping with active learning

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Papers in this map

  1. Physics-Informed Neural Networks for Cardiac Activation Mapping · Francisco Sahli Costabal · 2020 · 425 citations · Cited by this paper
  2. Assessing the robustness of evaluation metrics for synthetic ECG signal quality · 2026 · Related
  3. A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs · Karli Gillette · 2021 · 205 citations · Cited by this paper
  4. Dynamic wavelet-based augmentation for enhanced EEG-based imagined speech classification · 2026 · Related
  5. Noninvasive Electrocardiographic Imaging of Arrhythmogenic Substrates in Humans · Yoram Rudy · 2013 · 186 citations · Cited by this paper
  6. Integrating experimental biology, computational methods, and artificial intelligence in anticancer drug discovery: Bridging the translational gap · 2026 · Related
  7. Experimental Data and Geometric Analysis Repository—EDGAR · Kedar Aras · 2015 · 92 citations · Cited by this paper
  8. Differential regional textural attributes of tongue in normal and acidity patients in the light of traditional Chinese medicine · 2026 · Related
  9. Using the twelve-lead electrocardiogram to localize the site of origin of ventricular tachycardia · Mark E. Josephson · 2005 · 78 citations · Cited by this paper
  10. Rapid personalisation of cardiovascular models using invasively measured right ventricular pressure · 2026 · Related
  11. Real-Time Localization of Ventricular Tachycardia Origin From the 12-Lead Electrocardiogram · John L. Sapp · 2017 · 61 citations · Cited by this paper
  12. Integrating stemness and epithelial-mesenchymal transition signatures with machine learning identifies RUNX1 as a therapeutic vulnerability in colorectal cancer · 2026 · Related
  13. Automated analysis of the 12-lead electrocardiogram to identify the exit site of postinfarction ventricular tachycardia · Miki Yokokawa · 2011 · 59 citations · Cited by this paper
  14. A fully inductive inference protocol for population GNNs in single-subject brain disorder diagnosis · 2026 · Related
  15. Localization of Ventricular Activation Origin from the 12-Lead ECG: A Comparison of Linear Regression with Non-Linear Methods of Machine Learning · Shijie Zhou · 2018 · 29 citations · Cited by this paper
  16. 3D machine learning-based complexity variability and fluidity quantification of preterm and writhing general movements · 2026 · Related
  17. A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms · Ryan Missel · 2020 · 29 citations · Cited by this paper
  18. Rare disease monitoring plans: a case study within a clinical decision support system · 2026 · Related
  19. Forward-Solution Noninvasive Computational Arrhythmia Mapping: The VMAP Study · David E. Krummen · 2022 · 26 citations · Cited by this paper
  20. Validity and Reliability of OpenCap: A low-cost markerless motion capture system for lower extremity kinematics in Transfemoral prosthetic users · 2026 · Related
  21. Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data · Prashnna Gyawali · 2021 · 19 citations · Cited by this paper
  22. A High-Precision Deep Learning Algorithm to Localize Idiopathic Ventricular Arrhythmias · Ting‐Yung Chang · 2022 · 18 citations · Cited by this paper
  23. Catheter Ablation of Scar-mediated Ventricular Tachycardia: Are Substrate-based Approaches Replacing Mapping? · Richard H. Hongo · 2019 · 7 citations · Cited by this paper
  24. The Use of Electrocardiographic Imaging in Localising the Origin of Arrhythmias During Catheter Ablation of Ventricular Tachycardia · Adam J. Graham · 2021 · 7 citations · Cited by this paper
  25. BOATMAP: Bayesian Optimization Active Targeting for Monomorphic Arrhythmia Pace-mapping · Casey Meisenzahl · 2024 · 3 citations · Cited by this paper

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