5 citations · 8 across the 6 of their papers we have counts for
4 papers · 1 filter
Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning
Tomoki Oya, Megumi Nakao, Tetsuya Matsuda
Intraoperative shape reconstruction of organs from endoscopic camera images is a complex yet indispensable technique for image-guided surgery. To address the uncertainty in reconst…
Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks
Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki +3
In video-assisted thoracoscopic surgeries, successful procedures of nodule resection are highly dependent on the precise estimation of lung deformation between the inflated lung in…
Statistical Deformation Reconstruction Using Multi-organ Shape Features for Pancreatic Cancer Localization
Megumi Nakao, Mitsuhiro Nakamura, Takashi Mizowaki +1
Respiratory motion and the associated deformations of abdominal organs and tumors are essential information in clinical applications. However, inter- and intra-patient multi-organ…
Deformation estimation of an elastic object by partial observation using a neural network
Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki +1
Deformation estimation of elastic object assuming an internal organ is important for the computer navigation of surgery. The aim of this study is to estimate the deformation of an…