Scientific imaging is undergoing a fundamental transformation. Advances in multiplex immunofluorescence, computational pathology, and electron microscopy now enable observation of biological and physical systems at unprecedented spatial resolution. Rather than simply classifying known objects, these data offer the oppo...
Marjan Stoimchev, Monu Verma, A. Filliol et al.· bioRxiv· 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 simple power analysis indicates that these subtle effects of gradient nonlinearity correction can become statistically detectable in larger multi-site studies exceeding ~1000 subjects, suggesting that GNL should be considered and, where possible, corrected or at least quantified in such settings.
Praitayini Kanakaraj, Tianyuan Yao, Zhiyuan Li et al.· PLoS ONE· 0 citations
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