49 citations · 147 across the 12 of their papers we have counts for
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eess.IV2022
2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs
Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura +1
Deformable registration of two-dimensional/three-dimensional (2D/3D) images of abdominal organs is a complicated task because the abdominal organs deform significantly and their co…
eess.IV2022
Feedback Assisted Adversarial Learning to Improve the Quality of Cone-beam CT Images
Takumi Hase, Megumi Nakao, Mitsuhiro Nakamura +1
Unsupervised image translation using adversarial learning has been attracting attention to improve the image quality of medical images. However, adversarial training based on the g…