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Assessing fiber tracking accuracy via diffusion tensor software models.

, , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 762326. SPIE, (2010)

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Visual computing for medical diagnosis and treatment., , , , , , , and . Computers & Graphics, 33 (4): 554-565 (2009)Segmentation of fiber tracts based on an accuracy analysis on diffusion tensor software phantoms., , , , and . NeuroImage, 55 (2): 532-544 (2011)State-of-the-Art Computer Graphics in Neurosurgical Planning and Risk Assessment., , , , , and . Eurographics (Short Papers), page 117-120. Eurographics Association, (2007)Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation, , , , , , , and . CoRR, (2011)Benchmarking the Quality of Diffusion-Weighted Images, , , , and . CoRR, (2011)Detecting Network Intrusion beyond 1999: Applying Machine Learning Techniques to a Partially Labeled Cybersecurity Dataset., , , , and . WI, page 784-787. IEEE Computer Society, (2018)Assessing fiber tracking accuracy via diffusion tensor software models., , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 762326. SPIE, (2010)A Fast and Robust Graph-Based Approach for Boundary Estimation of Fiber Bundles Relying on Fractional Anisotropy Maps., , , , , , , and . ICPR, page 4016-4019. IEEE Computer Society, (2010)Automatic segmentation of perifalcine structures in two-dimensional ultrasound images using object-based image analysis., , , , , , and . CURAC, page 219-224. (2015)Efficient global fiber tracking on multi-dimensional diffusion direction maps., , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83140M. SPIE, (2012)