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A B-snake model using statistical and geometric information-applications to medical images., , and . ICARCV, page 793-797. IEEE, (2002)Image denoising with morphology- and size-adaptive block-matching transform domain filtering., and . EURASIP J. Image and Video Processing, (2018)Machine Learning in Medical Imaging., , , and . Int. J. Biomedical Imaging, (2012)Scalable joint segmentation and registration framework for infant brain images., , , , and . Neurocomputing, (2017)Denoising magnetic resonance images using collaborative non-local means., , , , and . Neurocomputing, (2016)Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis., , , and . CoRR, (2019)Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (11): 1697-1706 (2018)Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (11): 2286-2303 (2015)Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features., , , , , and . IEEE Trans. Biomed. Engineering, 63 (9): 1820-1829 (2016)Tissue probability map constrained 4D clustering algorithm for increased accuracy and robustness in SerialMR brain image segmentation., , , and . IJMEI, 3 (3): 286-298 (2011)