Research map: A Multitask Deep Learning Model for Pediatric Echocardiography Analysis

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Papers in this map

  1. The Measurement of Observer Agreement for Categorical Data · John Richard Landis · 1977 · 81449 citations · Cited by this paper
  2. A Multitask Deep Learning Model for Pediatric Echocardiography Analysis: Promises and Limitations · John M. Simpson · 2026 · Cites this paper
  3. Association of Pulmonary Vascular Remodeling With Cardiac Structure and Function, Pulmonary Pressure, and Heart Failure in Late Life: The Atherosclerosis Risk in Communities (ARIC) Study · 2026 · Related
  4. Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging · Roberto Miguel Lang · 2015 · 18406 citations · Cited by this paper
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  12. Video-based AI for beat-to-beat assessment of cardiac function · David Ouyang · 2020 · 1142 citations · Cited by this paper
  13. Heart Failure Occurring in the Perinatal Period: A Scientific Statement From the American Heart Association · 2026 · Related
  14. Guidelines and Standards for Performance of a Pediatric Echocardiogram: A Report from the Task Force of the Pediatric Council of the American Society of Echocardiography · Wyman W. Lai · 2006 · 904 citations · Cited by this paper
  15. Advancing Quality in the Evaluation, Surveillance, and Management of Aortic Stenosis: A Report From the AHA Target: AS Registry · 2026 · Related
  16. MViTv2: Improved Multiscale Vision Transformers for Classification and Detection · Yanghao Li · 2022 · 794 citations · Cited by this paper
  17. An Integrated Ecosystem for Cardiovascular Science and Health · 2026 · Related
  18. Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning · Ekin Tiu · 2022 · 443 citations · Cited by this paper
  19. Paclitaxel-Coated Balloon Versus Uncoated Balloon for Coronary In-Stent Restenosis: Two-Year Follow-Up of the AGENT-IDE Randomized Clinical Trial · 2026 · Related
  20. Gender medicine: effects of sex and gender on cardiovascular disease manifestation and outcomes · Vera Regitz‐Zagrosek · 2022 · 387 citations · Cited by this paper
  21. Late Gadolinium Enhancement in Nonischemic Dilated Cardiomyopathy · 2026 · Related
  22. A deep learning system for predicting time to progression of diabetic retinopathy · Ling Dai · 2024 · 338 citations · Cited by this paper
  23. Blinded, randomized trial of sonographer versus AI cardiac function assessment · Bryan D. He · 2023 · 251 citations · Cited by this paper
  24. A Guide to Cross-Validation for Artificial Intelligence in Medical Imaging · Tyler Bradshaw · 2023 · 250 citations · Cited by this paper
  25. Vision–language foundation model for echocardiogram interpretation · Matthew Christensen · 2024 · 213 citations · Cited by this paper
  26. Guidelines for Performing a Comprehensive Pediatric Transthoracic Echocardiogram: Recommendations From the American Society of Echocardiography · Leo Lopez · 2024 · 211 citations · Cited by this paper
  27. The receiver operating characteristic curve accurately assesses imbalanced datasets · Eve Richardson · 2024 · 199 citations · Cited by this paper
  28. Unlocking echocardiogram measurements for heart disease research through natural language processing · Olga V. Patterson · 2017 · 107 citations · Cited by this paper
  29. Current Interventional and Surgical Management of Congenital Heart Disease · Kimberly A. Holst · 2017 · 104 citations · Cited by this paper
  30. Comparison Between Four-Chamber and Right Ventricular–Focused Views for the Quantitative Evaluation of Right Ventricular Size and Function · Davide Genovese · 2019 · 95 citations · Cited by this paper
  31. Complete AI-Enabled Echocardiography Interpretation With Multitask Deep Learning · Gregory Holste · 2025 · 80 citations · Cited by this paper
  32. Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients · Charitha D. Reddy · 2023 · 77 citations · Cited by this paper
  33. Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts · Jintai Chen · 2024 · 77 citations · Cited by this paper
  34. Predicting post-operative right ventricular failure using video-based deep learning · Rohan Shad · 2021 · 71 citations · Cited by this paper
  35. Echocardiography in Congenital Heart Disease · George McLeod · 2018 · 64 citations · Cited by this paper
  36. Artificial Intelligence in Congenital Heart Disease · Pei‐Ni Jone · 2022 · 61 citations · Cited by this paper
  37. Global, regional, and national epidemiology of congenital heart disease in children from 1990 to 2021 · Jingwen Xu · 2025 · 61 citations · Cited by this paper
  38. Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling · Joshua Mayourian · 2024 · 60 citations · Cited by this paper
  39. Machine Learning for Pediatric Echocardiographic Mitral Regurgitation Detection · Lindsay A. Edwards · 2022 · 51 citations · Cited by this paper

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