Author:Yoshinobu Sato

Publications
Whole-Body Skeletal Muscle Assessment Using Lower Extremity CT Images. Sotaro Kono, Keisuke Uemura, Mazen Soufi, Makoto Iwasa, Kazuma Takashima, Hidetoshi Hamada, Yoshito Otake, Yoshinobu Sato, Seiji Okada and Nobuhiko Sugano EasyChair Preprint 15296
Whole-body skeletal muscle assessment using lower extremity CT images. Sotaro Kono, Keisuke Uemura, Mazen Soufi, Makoto Iwasa, Kazuma Takashima, Hidetoshi Hamada, Yoshito Otake, Yoshinobu Sato, Seiji Okada and Nobuhiko Sugano In:Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery
Can thigh circumference predict thigh muscle volume? -Analysis using deep learning- Sotaro Kono, Keisuke Uemura, Soufi Mazen, Makoto Iwasa, Kazuma Takashima, Hidetoshi Hamada, Yoshito Otake, Masaki Takao, Yoshinobu Sato, Seiji Okada and Nobuhiko Sugano In:Proceedings of The 22nd Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery
Statistical Analysis of Sacral Bone Density using a CNN-based Atlas Creation on a Large-scale CT database Akihiro Kawasaki, Yoshito Otake, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano and Yoshinobu Sato In:CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery
Estimation of Pelvic Sagital Inclanation from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study Ata Jodeiri, Yoshito Otake, Reza A. Zoroofi, Yuta Hiasa, Masaki Takao, Keisuke Uemura, Nobuhiko Sugano and Yoshinobu Sato In:CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery

Keyphrases

bone density, Convolutional Neural Network, CT image², deep learning², deformable registration, dual-energy x-ray absorptiometry², Muscle Cross-Sectional Area, muscle volume, Pelvic sagittal inclination, Radiograph, skeletal muscle², statistical atlas generation, thigh circumference.