Author:
Sato Yoshinobu,Otake Yoshito
Reference23 articles.
1. Okada T, Linguraru MG, Hori M, Summers RM, Tomiyama N, Sato Y. Abdominal multi-organ segmentation from CT images using conditional shape–location and unsupervised intensity priors. Med Image Anal. 2015 Dec 1;26(1):1–8.
2. Yokota F, Otake Y, Takao M, Ogawa T, Okada T, Sugano N, Sato Y. Automated muscle segmentation from CT images of the hip and thigh using a hierarchical multi-atlas method. Int J Comput Assist Radiol Surg. 2018 Jul 1;13(7):977–86.
3. Hiasa Y, Otake Y, Takao M, Ogawa T, Sugano N, Sato Y. Automated muscle segmentation from clinical CT using Bayesian U-net for personalized musculoskeletal modeling. IEEE Trans Med Imaging. 2019 Sep 10;39(4):1030–40.
4. Hiasa Y, Otake Y, Takao M, Matsuoka T, Takashima K, Carass A, Prince JL, Sugano N, Sato Y. Cross-modality image synthesis from unpaired data using CycleGAN. In: International workshop on simulation and synthesis in medical imaging. Cham: Springer; 2018 Sep 16. p. 31–41.
5. Otake Y, Miyamoto K, Ollivier A, Yokota F, Fukuda N, O’Donnell LJ, Westin CF, Takao M, Sugano N, Chung BS, Park JS, Sato Y. Reconstruction of 3d muscle fiber structure using high resolution cryosectioned volume. In: International workshop and challenge on computational methods and clinical applications in musculoskeletal imaging. Cham: Springer; 2017 Sep 10. p. 85–94.