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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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cs.CV2021★ 19 cited

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

Hidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami +6

The integrated positron emission tomography/magnetic resonance imaging (PET/MRI) scanner facilitates the simultaneous acquisition of metabolic information via PET and morphological…