Zobrazeno 1 - 10
of 940
pro vyhledávání: '"Sato, Yoshinobu"'
Autor:
Gu, Yi, Otake, Yoshito, Uemura, Keisuke, Takao, Masaki, Soufi, Mazen, Okada, Seiji, Sugano, Nobuhiko, Talbot, Hugues, Sato, Yoshinobu
Radiography is widely used in orthopedics for its affordability and low radiation exposure. 3D reconstruction from a single radiograph, so-called 2D-3D reconstruction, offers the possibility of various clinical applications, but achieving clinically
Externí odkaz:
http://arxiv.org/abs/2409.16702
Autor:
Soufi, Mazen, Otake, Yoshito, Iwasa, Makoto, Uemura, Keisuke, Hakotani, Tomoki, Hashimoto, Masahiro, Yamada, Yoshitake, Yamada, Minoru, Yokoyama, Yoichi, Jinzaki, Masahiro, Kusano, Suzushi, Takao, Masaki, Okada, Seiji, Sugano, Nobuhiko, Sato, Yoshinobu
Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. However, current approaches were either applied only to 2D cross-sectional images, addre
Externí odkaz:
http://arxiv.org/abs/2409.02770
Autor:
Gu, Yi, Otake, Yoshito, Uemura, Keisuke, Takao, Masaki, Soufi, Mazen, Okada, Seiji, Sugano, Nobuhiko, Talbot, Hugues, Sato, Yoshinobu
While most vision tasks are essentially visual in nature (for recognition), some important tasks, especially in the medical field, also require quantitative analysis (for quantification) using quantitative images. Unlike in visual analysis, pixel val
Externí odkaz:
http://arxiv.org/abs/2407.20495
Autor:
Masuda, Masachika, Soufi, Mazen, Otake, Yoshito, Uemura, Keisuke, Kono, Sotaro, Takashima, Kazuma, Hamada, Hidetoshi, Gu, Yi, Takao, Masaki, Okada, Seiji, Sugano, Nobuhiko, Sato, Yoshinobu
Progression of hip osteoarthritis (hip OA) leads to pain and disability, likely leading to surgical treatment such as hip arthroplasty at the terminal stage. The severity of hip OA is often classified using the Crowe and Kellgren-Lawrence (KL) classi
Externí odkaz:
http://arxiv.org/abs/2401.00159
Autor:
Li, Ganping, Otake, Yoshito, Soufi, Mazen, Taniguchi, Masashi, Yagi, Masahide, Ichihashi, Noriaki, Uemura, Keisuke, Takao, Masaki, Sugano, Nobuhiko, Sato, Yoshinobu
Purpose: Manual annotations for training deep learning (DL) models in auto-segmentation are time-intensive. This study introduces a hybrid representation-enhanced sampling strategy that integrates both density and diversity criteria within an uncerta
Externí odkaz:
http://arxiv.org/abs/2307.13986
Autor:
Gu, Yi, Otake, Yoshito, Uemura, Keisuke, Soufi, Mazen, Takao, Masaki, Talbot, Hugues, Okada, Seiji, Sugano, Nobuhiko, Sato, Yoshinobu
Osteoporosis is a prevalent bone disease that causes fractures in fragile bones, leading to a decline in daily living activities. Dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography (QCT) are highly accurate for diagnosing ost
Externí odkaz:
http://arxiv.org/abs/2307.11513
Autor:
Gu, Yi, Otake, Yoshito, Uemura, Keisuke, Takao, Masaki, Soufi, Mazen, Hiasa, Yuta, Talbot, Hugues, Okata, Seiji, Sugano, Nobuhiko, Sato, Yoshinobu
Musculoskeletal diseases such as sarcopenia and osteoporosis are major obstacles to health during aging. Although dual-energy X-ray absorptiometry (DXA) and computed tomography (CT) can be used to evaluate musculoskeletal conditions, frequent monitor
Externí odkaz:
http://arxiv.org/abs/2305.19920
Autor:
Gu, Yi, Otake, Yoshito, Uemura, Keisuke, Soufi, Mazen, Takao, Masaki, Sugano, Nobuhiko, Sato, Yoshinobu
We propose a method for estimating the bone mineral density (BMD) from a plain x-ray image. Dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography (QCT) provide high accuracy in diagnosing osteoporosis; however, these modalities
Externí odkaz:
http://arxiv.org/abs/2207.03210
Autor:
Morita, Daiki, Kawarazaki, Ayako, Soufi, Mazen, Otake, Yoshito, Sato, Yoshinobu, Numajiri, Toshiaki
Publikováno v:
In Journal of Stomatology oral and Maxillofacial Surgery October 2024 125(5) Supplement 2
Autor:
Uemura, Keisuke, Otake, Yoshito, Takao, Masaki, Soufi, Mazen, Kawasaki, Akihiro, Sugano, Nobuhiko, Sato, Yoshinobu
Purpose: To apply a convolutional neural network (CNN) to develop a system that segments intensity calibration phantom regions in computed tomography (CT) images, and to test the system in a large cohort to evaluate its robustness. Methods: A total o
Externí odkaz:
http://arxiv.org/abs/2012.11151