Výsledky vyhľadávania - "s—Computer Processing and Modeling"

Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1‐weighted dataset Autor Brink, Wyger M., Yousefi, Sahar, Bhatnagar, Prernna, Remis, Rob F., Staring, Marius, Webb, Andrew G.

“… In this work, we present a method to generate a subject‐specific body model from a single T1…”
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Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients Autor Kaandorp, Misha P. T., Barbieri, Sebastiano, Klaassen, Remy, Laarhoven, Hanneke W. M., Crezee, Hans, While, Peter T., Nederveen, Aart J., Gurney‐Champion, Oliver J.

“…Purpose Earlier work showed that IVIM‐NETorig, an unsupervised physics‐informed deep neural network, was faster and more accurate than other state‐of‐the‐art…”
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Efficient estimation of propagator anisotropy and non‐Gaussianity in multishell diffusion MRI with micro‐structure adaptive convolution kernels and dual Fourier integral transforms Autor París, Guillem, Pieciak, Tomasz, Aja‐Fernández, Santiago, Tristán‐Vega, Antonio

“…‐retest study across the MICRA dataset (6 subjects scanned five times) and, finally, a computational…”
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Sparse precontrast T1 mapping for high‐resolution whole‐brain DCE‐MRI Autor Zhu, Zhibo, Lebel, R. Marc, Bliesener, Yannick, Acharya, Jay, Frayne, Richard, Nayak, Krishna S.

“…Purpose To develop and evaluate an efficient precontrast T1 mapping technique suitable for quantitative high‐resolution whole‐brain dynamic…”
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