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Connection

Ioannis Kakadiaris to Humans

This is a "connection" page, showing publications Ioannis Kakadiaris has written about Humans.
Connection Strength

1.116
  1. AI-MET: A deep learning-based clinical decision support system for distinguishing multisystem inflammatory syndrome in children from endemic typhus. Comput Biol Med. 2025 Apr; 188:109815.
    View in: PubMed
    Score: 0.095
  2. Competencies for the Use of Artificial Intelligence in Primary Care. Ann Fam Med. 2022; 20(6):559-563.
    View in: PubMed
    Score: 0.076
  3. Primary Care Artificial Intelligence: A Branch Hiding in Plain Sight. Ann Fam Med. 2020 May; 18(3):194-195.
    View in: PubMed
    Score: 0.068
  4. Artificial Intelligence and Family Medicine: Better Together. Fam Med. 2020 Jan; 52(1):8-10.
    View in: PubMed
    Score: 0.067
  5. Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA. J Am Heart Assoc. 2018 Nov 20; 7(22):e009476.
    View in: PubMed
    Score: 0.062
  6. An exploratory decision tree analysis to predict physical activity compliance rates in breast cancer survivors. Ethn Health. 2019 Oct; 24(7):754-766.
    View in: PubMed
    Score: 0.057
  7. A physics-based intravascular ultrasound image reconstruction method for lumen segmentation. Comput Biol Med. 2016 Aug 01; 75:19-29.
    View in: PubMed
    Score: 0.052
  8. Multi-scale segmentation of neurons based on one-class classification. J Neurosci Methods. 2016 Jun 15; 266:94-106.
    View in: PubMed
    Score: 0.051
  9. Automatic Morphological Reconstruction of Neurons from Multiphoton and Confocal Microscopy Images Using 3D Tubular Models. Neuroinformatics. 2015 Jul; 13(3):297-320.
    View in: PubMed
    Score: 0.049
  10. Standardized evaluation methodology and reference database for evaluating IVUS image segmentation. Comput Med Imaging Graph. 2014 Mar; 38(2):70-90.
    View in: PubMed
    Score: 0.043
  11. Segmentation of the luminal border in intravascular ultrasound B-mode images using a probabilistic approach. Med Image Anal. 2013 Aug; 17(6):649-70.
    View in: PubMed
    Score: 0.041
  12. Analysis of contrast-enhanced intravascular ultrasound images for the assessment of coronary plaque neoangiogenesis: another step closer to the identification of the vulnerable plaque. Curr Pharm Des. 2012; 18(15):2207-13.
    View in: PubMed
    Score: 0.038
  13. Accurate landmarking of three-dimensional facial data in the presence of facial expressions and occlusions using a three-dimensional statistical facial feature model. IEEE Trans Syst Man Cybern B Cybern. 2011 Oct; 41(5):1417-28.
    View in: PubMed
    Score: 0.037
  14. Toward the automatic detection of coronary artery calcification in non-contrast computed tomography data. Int J Cardiovasc Imaging. 2010 Oct; 26(7):829-38.
    View in: PubMed
    Score: 0.034
  15. A supervised classification-based method for coronary calcium detection in non-contrast CT. Int J Cardiovasc Imaging. 2010 Oct; 26(7):817-28.
    View in: PubMed
    Score: 0.034
  16. Functional morphology analysis of the left anterior descending coronary artery in EBCT images. IEEE Trans Biomed Eng. 2010 Aug; 57(8):1886-96.
    View in: PubMed
    Score: 0.034
  17. Three-dimensional face recognition in the presence of facial expressions: an annotated deformable model approach. IEEE Trans Pattern Anal Mach Intell. 2007 Apr; 29(4):640-9.
    View in: PubMed
    Score: 0.027
  18. AI-derived left-to-right cardiac chamber volume ratios in coronary artery calcium scans strongly predict heart failure. Eur Heart J Cardiovasc Imaging. 2026 Mar 27; 27(4):791-802.
    View in: PubMed
    Score: 0.026
  19. Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis. Radiol Cardiothorac Imaging. 2026 Feb; 8(1):e250205.
    View in: PubMed
    Score: 0.025
  20. Automated pericardial fat quantification in CT data. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:932-5.
    View in: PubMed
    Score: 0.025
  21. Comorbidities, Utilization, and Quality of Care as Predictors of Diabetes Complications. J Am Board Fam Med. 2026 Jan; 39(1).
    View in: PubMed
    Score: 0.025
  22. Developing and Validating Machine Learning-Driven Risk Indices to Predict Patient Dropout During Referral, Evaluation, and Waitlisting for Kidney Transplant. Clin Transplant. 2025 Sep; 39(9):e70325.
    View in: PubMed
    Score: 0.025
  23. Factors Associated with Health Care Costs in Older Adults with Type 2 Diabetes: Insights for Value-Based Payment Models. Popul Health Manag. 2025 Aug; 28(4):191-197.
    View in: PubMed
    Score: 0.024
  24. AI-enabled opportunistic measurement of liver steatosis in coronary artery calcium scans predicts cardiovascular events and all-cause mortality: an AI-CVD study within the Multi-Ethnic Study of Atherosclerosis (MESA). BMJ Open Diabetes Res Care. 2025 Apr 12; 13(2).
    View in: PubMed
    Score: 0.024
  25. What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care. J Am Board Fam Med. 2024; 37(2):332-345.
    View in: PubMed
    Score: 0.022
  26. Advancing primary care with Artificial Intelligence and Machine Learning. Healthc (Amst). 2022 Mar; 10(1):100594.
    View in: PubMed
    Score: 0.019
  27. Is Artificial Intelligence the Key to Reclaiming Relationships in Primary Care? Am Fam Physician. 2021 Dec 01; 104(6):558-559.
    View in: PubMed
    Score: 0.019
  28. Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. J Biomed Inform. 2021 Jul; 119:103818.
    View in: PubMed
    Score: 0.018
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.