Intro: Diffusion MRI allows for in vivo probing of brain tissue architecture via micron-level diffusion aggregated at the millimeter scale, but crossing white matter fibers decrease the sensitivity of downstream tasks such as microstructural modeling and tractography. Current fixel-based methods for identifying the num...
Adam M. Saunders, G. Rudravaram, Michael E. Kim et al.· 0 citations
Low-dose chest computed tomography scans acquired in multi-centre studies exhibit heterogeneity in the form of varying spatial resolution, reconstruction kernel and semantic field-of-view that hinder the reproducibility of quantitative measures and generalizability of downstream analyses. The National Lung Screening Tr...
A. Krishnan, Michael E. Kim, Chen-Yu Gao et al.· PLoS ONE· 0 citations
Abstract. Purpose Normative modeling of quantitative brain measurements is being widely adopted as a promising method for charting population-level developmental trajectories and identifying abnormalities in groups and individuals. Generalized additive models for location, scale, and shape (GAMLSS) are a statistical fr...
Michael E. Kim, G. Rudravaram, Adam M. Saunders et al.· Journal of Medical Imaging· 0 citations
A fully automated, three-stage cascade pipeline that combines subject-adaptive unsupervised candidate generation with two successive lightweight 3D ResNet classifiers, trained with only human-in-the-loop quality-assurance (QA) labels rather than dense voxel-wise segmentation masks is presented.
Sam Bogdanov, G. Rudravaram, Adam M. Saunders et al.· bioRxiv· 0 citations
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