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Titlebook: Biomedical Image Registration; 9th International Wo Žiga Špiclin,Jamie McClelland,Orcun Goksel Conference proceedings 2020 Springer Nature

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The Sectoral Turn in Labour Migration Policynlinear tractogram alignment methods, where we show that our LAP-based method outperforms all others. In discussing the results, we show that a main limitation of all streamline-based nonlinear registration methods is the computational cost and that addressing such problem may lead to further improv
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https://doi.org/10.1057/9780230292536hod that works well for images with different resolutions, aspect ratios, without the necessity to perform image padding, while maintaining a low number of network parameters and fast forward pass time. The proposed method is orders of magnitude faster than the classical approach based on the iterat
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Patrizia Battilani,Francesca Fauri structure guidance results in a comparable average Dice score of .. However, learning based registration requires only a single pass through the network, yielding computation of a deformation fields in less than 0.1 s which is more than 100 times faster than the runtime of iterative registration.
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https://doi.org/10.1007/978-3-030-70862-7ross both modalities and species. Tissue contrast in the T2 channel is high indicating excellent tissue-boundary alignment. The DTI channel displays strong anisotropy in white matter, as well as consistent left/right orientation information even in relatively isotropic grey matter regions. Finally,
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Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problemnlinear tractogram alignment methods, where we show that our LAP-based method outperforms all others. In discussing the results, we show that a main limitation of all streamline-based nonlinear registration methods is the computational cost and that addressing such problem may lead to further improv
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