All Stories

  1. Predicting adherence of patients with heart failure through machine learning techniques
  2. The Evolution of mHealth Interventions in Heart Failure
  3. Multiple Kernel Learning Algorithms and Their Use in Biomedical Informatics
  4. A preliminary presentation of a mobile co-operative platform for Heart Failure self-management
  5. A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images
  6. Occlusal caries detection using random walker algorithm: A graph approach
  7. An Adaptive Home Environment Supporting People with Balance Disorders
  8. Computer-Based Assessment of Alzheimer’s Disease Employing fMRI and/or EEG: A Comprehensive Review
  9. Stent Deployment Computer Based Simulations for Health Care Treatment of Diseased Arteries
  10. Crafting vascular medicine training scenarios: The RT3S authoring tool
  11. Application of decisional models to the health-economic assessment of new interactive clinical software
  12. Detection of occlusal caries based on digital image processing
  13. Modeling stent deployment in realistic arterial segment geometries: The effect of the plaque composition
  14. E-learning templates for peripheral vascular stenting
  15. Modifications of the construction and voting mechanisms of the Random Forests Algorithm
  16. Automatic detection of freezing of gait events in patients with Parkinson's disease
  17. A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment
  18. Feature Selection in HRV Analysis of Young and Elderly Subjects
  19. On Assessing Motor Disorders in Parkinson’s Disease
  20. Dynamic construction of Random Forests: Evaluation using biomedical engineering problems
  21. Knowledge extraction in a population suffering from heart failure
  22. A decision support tool for optimal Levodopa administration in Parkinson's disease
  23. Bayesian Methods for fMRI Time-Series Analysis Using a Nonstationary Model for the Noise
  24. A six stage approach for the diagnosis of the Alzheimer’s disease based on fMRI data
  25. A sparse linear model for the analysis of fMRI data with non stationary noise
  26. Diagnosis of Alzheimer’s Disease Using fMRI Data and Modifications of Random Forests Algorithm
  27. A sparse variational Bayesian approach for fMRI data analysis
  28. A supervised method to assist the diagnosis and classification of the status of Alzheimer's disease using data from an fMRI experiment
  29. A supervised method to assist the diagnosis of Alzheimer's Disease based on functional Magnetic Resonance Imaging
  30. Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging data
  31. AUTOMATED DIAGNOSIS AND QUANTIFICATION OF RHEUMATOID ARTHRITIS USING MRI
  32. Diffusion Tensor Imaging and Fiber Tractography
  33. Diffusion Tensor Imaging and Fiber Tractography