Yuta Hiasa

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Artifact Reduction

Image Synthesis

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Yuta Hiasa, Hugues Talbot, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume. CoRR (2023)
Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Yuta Hiasa, Hugues Talbot, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato
MSKdeX: Musculoskeletal (MSK) Decomposition from an X-Ray Image for Fine-Grained Estimation of Lean Muscle Mass and Muscle Volume. MICCAI (7) (2023)
Yuta Hiasa, Yoshito Otake, Masaki Takao, Takeshi Ogawa, Nobuhiko Sugano, Yoshinobu Sato
Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling. IEEE Trans. Medical Imaging 39 (4) (2020)
Mitsuki Sakamoto, Yuta Hiasa, Yoshito Otake, Masaki Takao, Yuki Suzuki, Nobuhiko Sugano, Yoshinobu Sato
Bayesian Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT Using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. J. Signal Process. Syst. 92 (3) (2020)
Ata Jodeiri, Reza Aghaeizadeh Zoroofi, Yuta Hiasa, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato, Yoshito Otake
Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework. Comput. Methods Programs Biomed. 184 (2020)
Ata Jodeiri, Reza Aghaeizadeh Zoroofi, Yuta Hiasa, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato, Yoshito Otake
Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph. CoRR (2019)
Ata Jodeiri, Yoshito Otake, Reza Aghaeizadeh Zoroofi, Yuta Hiasa, Masaki Takao, Keisuke Uemura, Nobuhiko Sugano, Yoshinobu Sato
Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study. CoRR (2019)
Mitsuki Sakamoto, Yuta Hiasa, Yoshito Otake, Masaki Takao, Yuki Suzuki, Nobuhiko Sugano, Yoshinobu Sato
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. CoRR (2019)
Yuta Hiasa, Yoshito Otake, Rie Tanaka, Shigeru Sanada, Yoshinobu Sato
Recovery of 3D rib motion from dynamic chest radiography and CT data using local contrast normalization and articular motion model. Medical Image Anal. 51 (2019)
Yuta Hiasa, Yoshito Otake, Masaki Takao, Takeshi Ogawa, Nobuhiko Sugano, Yoshinobu Sato
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model. CoRR (2019)
Yuta Hiasa, Yoshito Otake, Masaki Takao, Takumi Matsuoka, Kazuma Takashima, Aaron Carass, Jerry L. Prince, Nobuhiko Sugano, Yoshinobu Sato
Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN - Effects of Gradient Consistency Loss and Training Data Size. SASHIMI@MICCAI (2018)
Yuta Hiasa, Yoshito Otake, Masaki Takao, Takumi Matsuoka, Kazuma Takashima, Jerry L. Prince, Nobuhiko Sugano, Yoshinobu Sato
Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size. CoRR (2018)