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Support Vector Machine with nonlinear-kernel optimization for lateralization of epileptogenic hippocampus in MR images.

, , , , and . EMBC, page 1047-1050. IEEE, (2014)

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Assessments of variability in cortical and subcortical measurements and within-network connectivity of the brain using test-retest data., , and . EMBC, page 1-4. IEEE, (2023)Clustering method for estimating principal diffusion directions., , , , and . NeuroImage, 57 (3): 825-838 (2011)A Fast and Memory-Efficient Brain MRI Segmentation Framework for Clinical Applications., , and . EMBC, page 2140-2143. IEEE, (2022)Roles of Various Brain Structures on Non-Invasive Lateralization of Temporal Lobe Epilepsy., , , , and . ISVC (2), volume 8888 of Lecture Notes in Computer Science, page 32-40. Springer, (2014)Application of MEG coherence in lateralization of mTLE., , , , , , , , and . EMBC, page 5925-5928. IEEE, (2016)Application of DTI connectivity in lateralization of mTLE., , , , , , , , and . EMBC, page 5525-5528. IEEE, (2016)Support Vector Machine with nonlinear-kernel optimization for lateralization of epileptogenic hippocampus in MR images., , , , and . EMBC, page 1047-1050. IEEE, (2014)Dynamic Functional Connectivity Analysis Using Network-Based Brain State Identification, Application on Temporal Lobe Epilepsy., , , , and . EMBC, page 1-4. IEEE, (2023)Evolution of Graph Theory in Dynamic Functional Connectivity for Lateralization of Temporal Lobe Epilepsy., , , , , , , , , and . EMBC, page 628-631. IEEE, (2019)A Bayesian averaged response-driven multinomial model for lateralization of temporal lobe epilepsy., , , , , and . ISBI, page 197-200. IEEE, (2014)