All Stories

  1. Optimal Parametric Analysis of Non‐Adaptive and Adaptive Sinc‐Based Image Zoom Techniques
  2. Two-dimensional image noise removal and reconstruction using discrete Fourier transform, k-space filtering and Z-space filtering
  3. Two‐dimensional adaptive Whittaker–Shannon Sinc‐based zooming
  4. Cover Image: Volume 2 Issue 3
  5. Sampling technique for Fourier convolution theorem based k‐space filtering
  6. Sampling Technique for Fourier Convolution Theorem Based k-space Filtering
  7. Sampling Technique for Fourier Convolution Theorem Based k-space Filtering
  8. Empirical evidence of the extension of the Fourier convolution theorem to Z-space
  9. Two-dimensional image zooming by adaptive Sinc-based technique
  10. Two-Dimensional Z-space Filtering Using Pulse-Transfer Function
  11. Theory and Applications of Fourier, Laplace, and Z Transformations
  12. Pulse-transfer function of the intensity-curvature functional: Applications in magnetic resonance angiography of the human brain
  13. Inverse Fourier transformation of combined first order derivative and intensity-curvature functional of magnetic resonance angiography of the human brain
  14. Merge of MRI and ICF of MRI. ICF means intensity-curvature functional. The merge happens in k-space.
  15. To create a masking procedure using four images calculated from MRI images.
  16. High pass filter created from bivariate cubic B-spline model polynomial function.
  17. Image space and k-space ICF based filters.
  18. The Properties of The Intensity-Curvature Measurement Approaches: Applications In Magnetic Resonance Imaging of The Human Brain
  19. Intensity-curvature highlight of human brain magnetic resonance imaging vasculature
  20. Digital high pass filters calculated from model polynomial functions.
  21. On the properties of the intensity-curvature measurement approaches: the signal resilient to interpolation and the resilient curvature
  22. On the filtering properties of classic-curvature and intensity-curvature functional images: applications in magnetic resonance imaging
  23. On the properties of the intensity-curvature measurement approaches: the classic-curvature and the intensity-curvature functional
  24. Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors
  25. A compilation on the contribution of the classic-curvature and the intensity-curvature functional to the study of healthy and pathological MRI of the human brain
  26. Computational Intelligence in Magnetic Resonance Imaging of the Human Brain: The Classic-Curvature and the Intensity-Curvature Functional in a Tumor Case Study
  27. The sub-pixel efficacy region of the bivariate linear interpolation function
  28. The Intensity-Curvature Functional of The Trivariate Cubic Lagrange Interpolation Formula
  29. On the Signal-Image Intensity-Curvature Content
  30. The Notion
  31. Interpolation Procedures
  32. The Intuition
  33. The Conception of the Intensity-Curvature Functional
  34. Assessment of the Truth Foreseen in the Intuition
  35. The Conception of the Sub-Pixel Efficacy Region
  36. On the Literature of B-Spline Interpolation Functions
  37. The Extension of Theory and Methodology to B-Splines
  38. The Unifying Theory Embraces Lagrange and Sinc Interpolation Functions
  39. The Main Innovation Determined By the Sub-Pixel Efficacy Region
  40. The Extension of the Theory to the Trivariate Linear Interpolation Function
  41. The Results of the Sub-Pixel Efficacy Region Based Trivariate Linear Interpolation Function