Titlebook: Connectomics in NeuroImaging; Second International Guorong Wu,Islem Rekik,Brent Munsell Conference proceedings 2018 Springer Nature Switzer

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GIFE: Efficient and Robust Group-Wise Isometric Fiber Embedding,rameworks are not suitable for GIFE due to the massive fiber tracts and the registration errors in the original GiTA framework. To address these issues, we propose a novel method called multidimensional extrapolating (MDE) to achieve GIFE. In our experiment, simulation results show quantitatively th

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Neonatal Morphometric Similarity Networks Predict Atypical Brain Development Associated with Preterfference between predicted and actual age. The model predicted chronological age with a mean absolute error of 0.88 (±0.63) weeks, and it consistently predicted preterm infants to have a lower RBNMI than term infants. We conclude that MSNs derived from multimodal imaging predict chronological brain

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Heritability Estimation of Reliable Connectomic Features,360 brain regions in the Glasser parcellation, we observed .5% of them with significantly high heritability in fractional anisotropy, fiber length or fiber number. All the tested network level measures, capturing the network integrality, segregation or resilience, are highly heritable, with variance

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0302-9743 unction with MICCAI 2018 in Granada, Spain, in September 2018.. The 15 full papers presented were carefully reviewed and selected from 20 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagn