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20202022
most citedUnsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks

19 citations · 35 across the 3 of their papers we have counts for

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Showing 2022 · eess.IVShow all

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eess.IV2022★ 5 cited

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network

Sandeep Kaushik, Mikael Bylund, Cristina Cozzini +12

In this work, we present a method for synthetic CT (sCT) generation from zero-echo-time (ZTE) MRI aimed at structural and quantitative accuracies of the image, with a particular fo…