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Using support vector machines with tract-based spatial statistics for automated classification of Tourette syndrome children.

, , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97852Q. SPIE, (2016)

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Multi-threshold white matter structural networks fusion for accurate diagnosis of Tourette syndrome children., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341Q. SPIE, (2017)Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children., , , , , , , , and . Pattern Recognit., (2017)Altered structural-functional coupling of large-scale brain networks in early Tourette syndrome children., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 1057828. SPIE, (2018)Using support vector machines with tract-based spatial statistics for automated classification of Tourette syndrome children., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97852Q. SPIE, (2016)Diffusion tractography and graph theory analysis reveal the disrupted rich-club organization of white matter structural networks in early Tourette Syndrome children., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137 of SPIE Proceedings, page 101371E. SPIE, (2017)A diagnosis model for early Tourette syndrome children based on brain structural network characteristics., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97852R. SPIE, (2016)