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Analysis of Cone-Beam Artifacts in off-Centered Circular CT for Four Reconstruction Methods.

, , and . Int. J. Biomedical Imaging, (2006)

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An automated string-based approach to White Matter fiber-bundles clustering., , , , and . IJCNN, page 1-8. IEEE, (2015)Implementation of an Absolute Brain $^1$H-MRS Quantification Method to Assess Different Tissue Alterations in Multiple Sclerosis., , , , , , and . IEEE Trans. Biomed. Eng., 59 (10): 2687-2694 (2012)Analysis of Cone-Beam Artifacts in off-Centered Circular CT for Four Reconstruction Methods., , and . Int. J. Biomedical Imaging, (2006)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)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)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)Longitudinal Neuroimaging Analysis Using Non-Negative Matrix Factorization., , , and . SITIS, page 55-61. IEEE Computer Society, (2016)Axonal injury in the cerebral normal-appearing white matter of patients with multiple sclerosis is related to concurrent demyelination in lesions but not to concurrent demyelination in normal-appearing white matter., , , , , , , , , and 1 other author(s). NeuroImage, 29 (2): 637-642 (2006)Generalization of FDK 3D tomographic reconstruction algorithm for an off-centered cone beam geometry., , and . ICIP (3), page 620-623. IEEE, (2005)A Graph Based Classification Method for Multiple Sclerosis Clinical Forms Using Support Vector Machine., , , , and . MLMMI@ICML, volume 9487 of Lecture Notes in Computer Science, page 57-64. Springer, (2015)