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NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique.

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Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique., , , , , , , , , and . Advances in Neural Networks, volume 54 of Smart Innovation, Systems and Technologies, Springer, (2016)A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2017)Computerized Neuropsychological Assessment in Aging: Testing Efficacy and Clinical Ecology of Different Interfaces., , , , , , and . Comput. Math. Methods Medicine, (2014)Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering., , , , , , , , , and . Int. J. Imaging Syst. Technol., 25 (3): 213-225 (2015)Combination of gene expression and genome copy number alteration has a prognostic value for breast cancer., , , , , , , and . EMBC, page 608-611. IEEE, (2013)Early Diagnosis of Alzheimer's Disease Using a Grid Implementation of Statistical Parametric Mapping Analysis., , , , , , , , , and 1 other author(s). HealthGrid, volume 120 of Studies in Health Technology and Informatics, page 69-81. IOS Press, (2006)USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets., , , , , , , , , and 5 other author(s). CoRR, (2019)A Graph-Based Method for PET Image Segmentation in Radiotherapy Planning: A Pilot Study., , , , , , , , and . ICIAP (2), volume 8157 of Lecture Notes in Computer Science, page 711-720. Springer, (2013)A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for 18F-FDG PET preclinical studies., , , , , , , , , and 1 other author(s). EMBC, page 6255-6258. IEEE, (2012)NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique., , , , , , and . Int. J. Imaging Syst. Technol., 28 (1): 21-37 (2018)