All Stories

  1. Enhancing fear of re-injury classification after ACL reconstruction by integrating biomechanical and electromyography data using multimodal machine learning methods
  2. Subject-Aware Model Validation for Repeated-Measures Data: A Nested Approach for Trustworthy Medical AI Applications (Preprint)
  3. Subject-Aware Model Validation for Repeated-Measures Data: A Nested Approach for Trustworthy Medical AI Applications (Preprint)
  4. Beyond self-reports after anterior cruciate ligament injury – machine learning methods for classifying and identifying movement patterns related to fear of re-injury
  5. Classifying climate-related failures for regional-national railway networks
  6. Identifying climate-related failures in railway infrastructure using machine learning
  7. Event detection in surveillance videos: a review
  8. Nailfold microvascular changes in patients with systemic lupus erythematosus and their associative factors
  9. Practical issues in assessing nailfold capillaroscopic images: a summary
  10. Image enhancement effect on inter and intra-observer reliability of nailfold capillary assessment
  11. Elliptical broken line method for calculating capillary density in nailfold capillaroscopy: Proposal and evaluation
  12. Counting capillaries in nailfold capillaroscopy: State of the art and a proposed method
  13. Capillary density: An important parameter in nailfold capillaroscopy
  14. Nailfold Capillaroscopy in Rheumatic Diseases: Which Parameters Should Be Evaluated?
  15. Using Homo-Separation of Variables for Solving Systems of Nonlinear Fractional Partial Differential Equations