Cuda Parallelization of Commit Framework for Efficient Microstructure-Informed Tractography . Hernandez-Gutierrez, E., Ramirez-Manzanares, A., Marroquin, J. L., Ocampo-Pineda, M., & Daducci, A. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) , pages 1606–1609, April, 2019.
doi  bibtex   
@inproceedings{hernandez-gutierrezCudaParallelizationCommit2019,
	title        = {
		Cuda {{Parallelization}} of {{Commit Framework}} for {{Efficient
		Microstructure-Informed Tractography}}
	},
	author       = {
		{Hernandez-Gutierrez}, Erick and {Ramirez-Manzanares}, Alonso and Marroquin,
		Jose L. and {Ocampo-Pineda}, Mario and Daducci, Alessandro
	},
	year         = 2019,
	month        = apr,
	booktitle    = {
		2019 {{IEEE}} 16th {{International Symposium}} on {{Biomedical Imaging}}
		({{ISBI}} 2019)
	},
	pages        = {1606--1609},
	doi          = {10.1109/ISBI.2019.8759098},
	issn         = {1945-7928},
	keywords     = {
		biodiffusion,biomedical MRI,brain,Brain,brain images,brain
		tractography,brain-volume,commit framework,Computational
		modeling,Connectivity analysis,CUDA language framework,cuda
		parallelization,Diffusion weighted imaging,efficient microstructure-informed
		tractography,estimators,false positives,false-positive connections,Graphics
		processing units,Instruction sets,Integrated circuit
		modeling,Kernel,long-range connections,medical image
		processing,neurophysiology,object tracking,parallel architectures,Parallel
		computing,required computational time
	}
}

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