1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
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…
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…