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Journal Articles
- 2020
[j4]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: 105282 (2020)- [j3]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): 1030-1040 (2020) - [j2]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): 335-344 (2020) - 2019
- [j1]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: 144-156 (2019)
Conference and Workshop Papers
- 2023
- [c2]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: 497-507 - 2018
- [c1]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: 31-41
Informal and Other Publications
- 2023
- [i6]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 abs/2305.19920 (2023) - 2019
- [i5]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 abs/1906.11484 (2019) - [i4]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 abs/1907.08915 (2019) - [i3]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 abs/1910.12122 (2019) - [i2]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 abs/1910.13231 (2019) - 2018
- [i1]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 abs/1803.06629 (2018)
Coauthor Index
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