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Novel Convex Active Contour Model Using Local and Global Information.

, , , , and . DICTA, page 346-351. IEEE Computer Society, (2011)

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An Optimal Weight Model for Single Image Super-Resolution., , , , , and . DICTA, page 1-8. IEEE, (2012)Medical image denoising using Kernel Ridge Regression., , , , and . ICIP, page 1597-1600. IEEE, (2011)Fully Three-Dimensional Tomographic Evolutionary Reconstruction in Nuclear Medicine., , and . Artificial Evolution, volume 4926 of Lecture Notes in Computer Science, page 231-242. Springer, (2007)3D edge detection using recursive filtering: Application to scanner images., , and . CVGIP: Image Understanding, 53 (1): 76-87 (1991)Efficient segmentation with the convex local-global fuzzy Gaussian distribution active contour for medical applications., , , , and . Ann. Math. Artif. Intell., 75 (1-2): 249-266 (2015)Improving Registration of 3-D Medical Images Using a Mechanical Based Method., , and . ECCV (2), volume 801 of Lecture Notes in Computer Science, page 131-136. Springer, (1994)New Genetic Operators in the Fly Algorithm: Application to Medical PET Image Reconstruction., , , and . EvoApplications (1), volume 6024 of Lecture Notes in Computer Science, page 292-301. Springer, (2010)Rigid registration of 3-D objects by motion analysis., , and . ICPR (1), page 579-581. IEEE, (1994)Novel Example-Based Method for Super-Resolution and Denoising of Medical Images., , , , , and . IEEE Trans. Image Processing, 23 (4): 1882-1895 (2014)An effective example-based learning method for denoising of medical images corrupted by heavy Gaussian noise and poisson noise., , , , , , and . ICIP, page 823-827. IEEE, (2014)