Keisuke Uemura

According to our database, Keisuke Uemura authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hybrid representation-enhanced sampling for Bayesian active learning in musculoskeletal segmentation of lower extremities.

Ganping Li, Yoshito Otake, Mazen Soufi, Masashi Taniguchi, Masahide Yagi, Noriaki Ichihashi, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato

Int. J. Comput. Assist. Radiol. Surg., November, 2024

Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs.

Masachika Masuda, Mazen Soufi, Yoshito Otake, Keisuke Uemura, Sotaro Kono, Kazuma Takashima, Hidetoshi Hamada, Yi Gu, Masaki Takao, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato

Int. J. Comput. Assist. Radiol. Surg., May, 2024

Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images.

Mazen Soufi, Yoshito Otake, Makoto Iwasa, Keisuke Uemura, Tomoki Hakotani, Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki, Suzushi Kusano, Masaki Takao, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato

CoRR, 2024

Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database.

Ganping Li, Yoshito Otake, Mazen Soufi, Masachika Masuda, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Quantitative Image Synthesis Through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-Ray Image.

Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada, Nobuhiko Sugano, Hugues Talbot, Yoshinobu Sato

Proceedings of the Simulation and Synthesis in Medical Imaging, 2024

3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation.

Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada, Nobuhiko Sugano, Hugues Talbot, Yoshinobu Sato

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography.

Yi Gu, Yoshito Otake, Keisuke Uemura, Mazen Soufi, Masaki Takao, Hugues Talbot, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato

Medical Image Anal., December, 2023

Rotational-motion measurement of the sacroiliac joint using upright MRI scanning and intensity-based registration: is there a sex difference?

Tetsuro Tani, Masaki Takao, Mazen Soufi, Yoshito Otake, Norio Fukuda, Hidetoshi Hamada, Keisuke Uemura, Yoshinobu Sato, Nobuhiko Sugano

Int. J. Comput. Assist. Radiol. Surg., January, 2023

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.

Makoto Iwasa, Masaki Takao, Mazen Soufi, Keisuke Uemura, Yoshito Otake, Hidetoshi Hamada, Yoshinobu Sato, Nobuhiko Sugano, Seiji Okada

Int. J. Comput. Assist. Radiol. Surg., January, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

BMD-GAN: Bone Mineral Density Estimation Using X-Ray Image Decomposition into Projections of Bone-Segmented Quantitative Computed Tomography Using Hierarchical Learning.

Yi Gu, Yoshito Otake, Keisuke Uemura, Mazen Soufi, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Application of Participatory Design Methodology in AR: Developing Prototypes for Two Context Scenarios.

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

Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

2021

Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network.

Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato

Int. J. Comput. Assist. Radiol. Surg., 2021

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

2017

Estimation of attachment regions of hip muscles in CT image using muscle attachment probabilistic atlas constructed from measurements in eight cadavers.

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

Int. J. Comput. Assist. Radiol. Surg., 2017