most citedIGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration

36 citations · 36 across the 2 of their papers we have counts for

collaborators

2 papers

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.IV2021★ 36 cited

IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration

Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda

Organ shape reconstruction based on a single-projection image during treatment has wide clinical scope, e.g., in image-guided radiotherapy and surgical guidance. We propose an imag…