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Keisuke Uemura
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2020 – today
- 2024
- [j6]Masachika Masuda
, Mazen Soufi, Yoshito Otake, Keisuke Uemura, Sotaro Kono, Kazuma Takashima, Hidetoshi Hamada, Yi Gu, Masaki Takao
, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs. Int. J. Comput. Assist. Radiol. Surg. 19(5): 903-915 (2024) - [i8]Masachika Masuda, Mazen Soufi, Yoshito Otake, Keisuke Uemura, Sotaro Kono, Kazuma Takashima, Hidetoshi Hamada, Yi Gu, Masaki Takao
, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs. CoRR abs/2401.00159 (2024) - [i7]Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada, Nobuhiko Sugano, Hugues Talbot, Yoshinobu Sato:
Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray Image. CoRR abs/2407.20495 (2024) - 2023
- [j5]Makoto Iwasa, Masaki Takao
, Mazen Soufi, Keisuke Uemura, Yoshito Otake, Hidetoshi Hamada, Yoshinobu Sato, Nobuhiko Sugano, Seiji Okada:
Artificial intelligence-based volumetric analysis of muscle atrophy and fatty degeneration in patients with hip osteoarthritis and its correlation with health-related quality of life. Int. J. Comput. Assist. Radiol. Surg. 18(1): 71-78 (2023) - [j4]Tetsuro Tani, Masaki Takao
, Mazen Soufi, Yoshito Otake, Norio Fukuda, Hidetoshi Hamada, Keisuke Uemura, Yoshinobu Sato, Nobuhiko Sugano:
Rotational-motion measurement of the sacroiliac joint using upright MRI scanning and intensity-based registration: is there a sex difference? Int. J. Comput. Assist. Radiol. Surg. 18(1): 79-84 (2023) - [j3]Yi Gu, Yoshito Otake, Keisuke Uemura
, Mazen Soufi
, Masaki Takao
, Hugues Talbot
, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato
:
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography. Medical Image Anal. 90: 102970 (2023) - [c3]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 - [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) - [i5]Yi Gu, Yoshito Otake, Keisuke Uemura, Mazen Soufi, Masaki Takao, Hugues Talbot, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography. CoRR abs/2307.11513 (2023) - [i4]Ganping Li, Yoshito Otake, Mazen Soufi, Masashi Taniguchi, Masahide Yagi, Noriaki Ichihashi, Keisuke Uemura, Masaki Takao
, Nobuhiko Sugano, Yoshinobu Sato:
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities. CoRR abs/2307.13986 (2023) - 2022
- [c2]Isidro III Butaslac, Alessandro Luchetti
, Junya Ino, Yuichiro Fujimoto, Taishi Sawabe, Masayuki Kanbara, Hirokazu Kato, Keisuke Uemura, Yoshito Otake, Yoshinobu Sato, Masaki Takao
, Nobuhiko Sugano:
Application of Participatory Design Methodology in AR: Developing Prototypes for Two Context Scenarios. ISMAR Adjunct 2022: 244-248 - [c1]Yi Gu, Yoshito Otake, Keisuke Uemura
, Mazen Soufi, Masaki Takao
, Nobuhiko Sugano, Yoshinobu Sato:
BMD-GAN: Bone Mineral Density Estimation Using X-Ray Image Decomposition into Projections of Bone-Segmented Quantitative Computed Tomography Using Hierarchical Learning. MICCAI (6) 2022: 644-654 - [i3]Yi Gu, Yoshito Otake, Keisuke Uemura, Mazen Soufi, Masaki Takao
, Nobuhiko Sugano, Yoshinobu Sato:
BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning. CoRR abs/2207.03210 (2022) - 2021
- [j2]Keisuke Uemura
, Yoshito Otake, Masaki Takao
, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato:
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network. Int. J. Comput. Assist. Radiol. Surg. 16(11): 1855-1864 (2021) - 2020
- [i2]Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato:
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network. CoRR abs/2012.11151 (2020)
2010 – 2019
- 2019
- [i1]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) - 2017
- [j1]Norio Fukuda
, Yoshito Otake, Masaki Takao
, Futoshi Yokota, Takeshi Ogawa, Keisuke Uemura
, Ryota Nakaya, Kazunori Tamura, Robert B. Grupp
, Amirhossein Farvardin, Mehran Armand, Nobuhiko Sugano, Yoshinobu Sato:
Estimation of attachment regions of hip muscles in CT image using muscle attachment probabilistic atlas constructed from measurements in eight cadavers. Int. J. Comput. Assist. Radiol. Surg. 12(5): 733-742 (2017)
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last updated on 2024-08-25 19:14 CEST by the dblp team
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