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Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework.

, , , , , , and . Int. J. Imaging Systems and Technology, 25 (3): 256-264 (2015)

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Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework., , , , , , and . Int. J. Imaging Systems and Technology, 25 (3): 256-264 (2015)Non-Local Means Image Denoising Using Shapiro-Wilk Similarity Measure., , , and . IEEE Access, (2018)Nonlocal linear minimum mean square error methods for denoising MRI., , , and . Biomed. Signal Proc. and Control, (2015)Automatic detection and localization of Focal Cortical Dysplasia lesions in MRI using fully convolutional neural network., , , , , and . Biomed. Signal Proc. and Control, (2019)Automated segmentation of intra-retinal cysts from optical coherence tomography scans using marker controlled watershed transform., , and . EMBC, page 1292-1295. IEEE, (2016)A Hybrid Model for Rician Noise Reduction in MRI., , and . ADCONS, page 56-61. IEEE, (2013)A new non-local maximum likelihood estimation method for Rician noise reduction in magnetic resonance images using the Kolmogorov-Smirnov test., , and . Signal Processing, (2014)Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model., , , , and . IEEE J. Biomedical and Health Informatics, 23 (1): 296-304 (2019)A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images., , and . Biomed. Signal Proc. and Control, (2018)Guided SAR image despeckling with probabilistic non local weights., , and . Computers & Geosciences, (2017)