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Found 3 papers, 1 papers with code
Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering
Their outputs are combined to obtain the classification labels for the streamlines.
Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filtering
To address this problem, tractogram filtering methods have been developed to remove faulty connections in a postprocessing step.
Tractography and machine learning: Current state and open challenges
Supervised machine learning (ML) algorithms have recently been proposed as an alternative to traditional tractography methods in order to address some of their weaknesses.
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