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Novel Example-Based Method for Super-Resolution and Denoising of Medical Images.

, , , , , и . IEEE Trans. Image Processing, 23 (4): 1882-1895 (2014)

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Dinh-Van Trinh

Trinh Kien Dinh

Trinh Dinh Chien

Pierre Trinh-viet-Yên

Michael Trinh

 

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Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning., , , , , , , , и . EMBC, стр. 1936-1939. IEEE, (2020)Novel Example-Based Method for Super-Resolution and Denoising of Medical Images., , , , , и . 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., , , , , , и . ICIP, стр. 823-827. IEEE, (2014)Adaptive Medical Image Denoising Using Support Vector Regression., , , , и . CAIP (1), том 6854 из Lecture Notes in Computer Science, стр. 494-502. Springer, (2011)Dense Optical Flow for the Reconstruction of Weakly Textured and Structured Surfaces: Application to Endoscopy., , , , и . ICIP, стр. 310-314. IEEE, (2019)Assessing deep learning methods for the identification of kidney stones in endoscopic images., , , , , , , , , и 1 other автор(ы). EMBC, стр. 2778-2781. IEEE, (2021)An Optimal Weight Model for Single Image Super-Resolution., , , , , и . DICTA, стр. 1-8. IEEE, (2012)Medical image denoising using Kernel Ridge Regression., , , , и . ICIP, стр. 1597-1600. IEEE, (2011)A general form of illumination-invariant descriptors in variational optical flow estimation., , и . ICIP, стр. 2533-2537. IEEE, (2017)Mosaicing of Images with Few Textures and Strong Illumination Changes: Application to Gastroscopic Scenes., , , и . ICIP, стр. 1263-1267. IEEE, (2018)