Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN - Effects of Gradient Consistency Loss and Training Data Size. - Yuta Hiasa; Yoshito Otake; Masaki Takao; Takumi Matsuoka; Kazuma Takashima; Aaron Carass; Jerry L. Prince; Nobuhiko Sugano; Yoshinobu Sato (SASHIMI@MICCAI, 2018)

Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size. - Yuta Hiasa; Yoshito Otake; Masaki Takao; Takumi Matsuoka; Kazuma Takashima; Jerry L. Prince; Nobuhiko Sugano; Yoshinobu Sato (CoRR, 2018)

Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. - Mitsuki Sakamoto; Yuta Hiasa; Yoshito Otake; Masaki Takao; Yuki Suzuki; Nobuhiko Sugano; Yoshinobu Sato (CoRR, 2019)

Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model. - Yuta Hiasa; Yoshito Otake; Masaki Takao; Takeshi Ogawa; Nobuhiko Sugano; Yoshinobu Sato (CoRR, 2019)

Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study. - Ata Jodeiri; Yoshito Otake; Reza Aghaeizadeh Zoroofi; Yuta Hiasa; Masaki Takao; Keisuke Uemura; Nobuhiko Sugano; Yoshinobu Sato (CoRR, 2019)

Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph. - Ata Jodeiri; Reza Aghaeizadeh Zoroofi; Yuta Hiasa; Masaki Takao; Nobuhiko Sugano; Yoshinobu Sato; Yoshito Otake (CoRR, 2019)

Recovery of 3D rib motion from dynamic chest radiography and CT data using local contrast normalization and articular motion model. - Yuta Hiasa; Yoshito Otake; Rie Tanaka; Shigeru Sanada; Yoshinobu Sato (Medical Image Anal., 2019)

Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework. - Ata Jodeiri; Reza Aghaeizadeh Zoroofi; Yuta Hiasa; Masaki Takao; Nobuhiko Sugano; Yoshinobu Sato; Yoshito Otake (Comput. Methods Programs Biomed., 2020)

Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling. - Yuta Hiasa; Yoshito Otake; Masaki Takao; Takeshi Ogawa; Nobuhiko Sugano; Yoshinobu Sato (IEEE Trans. Medical Imaging, 2020)

Bayesian Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT Using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. - Mitsuki Sakamoto; Yuta Hiasa; Yoshito Otake; Masaki Takao; Yuki Suzuki; Nobuhiko Sugano; Yoshinobu Sato (J. Signal Process. Syst., 2020)

MSKdeX: Musculoskeletal (MSK) Decomposition from an X-Ray Image for Fine-Grained Estimation of Lean Muscle Mass and Muscle Volume. - Yi Gu; Yoshito Otake; Keisuke Uemura; Masaki Takao; Mazen Soufi; Yuta Hiasa; Hugues Talbot; Seiji Okada; Nobuhiko Sugano; Yoshinobu Sato (MICCAI (7), 2023)