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Autotract: automatic cleaning and tracking of fibers.

, , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978408. SPIE, (2016)

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Fully automated rodent brain MR image processing pipeline on a Midas server: from acquired images to region-based statistics., , , , , and . Front. Neuroinform., (2013)A web-based system for neural network based classification in temporomandibular joint osteoarthritis., , , , , , , , , and 9 other author(s). Comp. Med. Imag. and Graph., (2018)Early postnatal myelin content estimate of white matter via T1w/T2w ratio., , , , , , , , , and 2 other author(s). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94171R. SPIE, (2015)Software-based diffusion MR human brain phantom for evaluating fiber-tracking algorithms., , , , , , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86692A. SPIE, (2013)DTIPrep: quality control of diffusion-weighted images., , , , , , , and . Front. Neuroinform., (2014)Automatic tissue segmentation of neonate brain MR Images with subject-specific atlases., , , , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 941311. SPIE, (2015)Automatic quantification framework to detect cracks in teeth., , , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105781K. SPIE, (2018)A midas plugin to enable construction of reproducible web-based image processing pipelines., , , , , and . Front. Neuroinform., (2013)UNC-Utah NA-MIC framework for DTI fiber tract analysis., , , , , , , , , and 9 other author(s). Front. Neuroinform., (2014)White matter fiber-based analysis of T1w/T2w ratio map., , , , , , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101330P. SPIE, (2017)