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Tensor Based Blind Source Separation in Longitudinal Magnetic Resonance Imaging Analysis.

, , , and . EMBC, page 3879-3883. IEEE, (2019)

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Improving QuickBundles to Extract Anatomically Coherent White Matter Fiber-Bundles., , , , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 633-641. Springer, (2016)Graph based neural networks for automatic classification of multiple sclerosis clinical courses., , , and . ESANN, (2018)An automated string-based approach to White Matter fiber-bundles clustering., , , , and . IJCNN, page 1-8. IEEE, (2015)Optic Disc Detection Using Fine Tuned Convolutional Neural Networks., , , and . SITIS, page 69-75. IEEE Computer Society, (2016)White Matter Fiber-Bundle Analysis Using Non-negative Tensor Factorization., , , , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 650-657. Springer, (2016)BioHIPI: Biomedical Hadoop Image Processing Interface., , , and . MOD, volume 10710 of Lecture Notes in Computer Science, page 540-548. Springer, (2017)A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations., , , , , , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 643-651. Springer, (2017)Longitudinal Neuroimaging Analysis Using Non-Negative Matrix Factorization., , , and . SITIS, page 55-61. IEEE Computer Society, (2016)A longitudinal model for variations detection in white matter fiber-bundles., , , , , , , and . IWSSIP, page 57-60. IEEE, (2015)Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles., , , , , and . IEEE J. Biomed. Health Informatics, 21 (5): 1393-1402 (2017)