Surface-based cortical analysis is useful in many applications as it is a natural way to model the highly folded structure of the cerebral cortex, allowing quantities such as curvature and thickness to be easily calculated. Existing deep learning (DL) methods have focused on 1x1x1 mm3 T1-weighted (T1w) scans, thus repl...
J. Nielsen, Karthik Gopinath, Andrew Hoopes et al.· 0 citations
Interactive visualization is essential for collaborative analysis of complex neuroimaging data. Modern workflows span multiple computing environments including notebooks, integrated development environments, and standalone applications. All these workflows rely on visualization for quality control, exploration, and int...
Korbinian Eckstein, A. Androulakis, T. Dao et al.· Aperture Neuro· 0 citations
This work presents FleXray, a generalist model for anatomical segmentation across the entire body in clinical X-rays, and builds a scalable, physics-based generative X-ray data engine that makes X-rays directly amenable to quantitative analysis.
V. Butoi, Vivek Gopalakrishnan, John V. Guttag et al.· 0 citations
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