Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MICT, MI |
2024-12-05 09:20 |
Osaka |
Jikei University of Health Care Sciences |
Measurement of pelvic anatomical parameters from a single plain radiograph using dual-face depth-map estimation Daisuke Watanabe, Yi Gu, Yoshito Otake (NAIST), Keisuke Uemura (Osaka Univ.), Mazen Soufi (NAIST), Masaki Takao (Ehime Univ.), Hugues Talbot (Univ. Paris-Saclay), Seiji Okada, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MICT2024-28 MI2024-26 |
We have previously developed a system that predicts depth maps―where pixel values represent the distance from the X-ray ... [more] |
MICT2024-28 MI2024-26 pp.1-4 |
MICT, MI |
2024-12-05 09:35 |
Osaka |
Jikei University of Health Care Sciences |
Analysis of cortical and trabecular bone density of the proximal femur by gender and age using a CT database of 600 cases Natsu Uwai, Yoshito Otake (NAIST), Keisuke Uemura (Osaka Univ), Yi Gu, Mazen Soufi (NAIST), Hidetoshi Hamada (Osaka Univ), Yoshinobu Sato (NAIST) MICT2024-29 MI2024-27 |
Measurement of cortical and trabecular bone density of the proximal femur is important for assessing fracture risk and m... [more] |
MICT2024-29 MI2024-27 pp.5-8 |
MICT, MI |
2024-12-05 09:50 |
Osaka |
Jikei University of Health Care Sciences |
Construction of multi-object SSM for torso and upper leg musculoskeletal modeling from a patient’s body shape Ryu Kakiuchi (NAIST), Yuto Masaki (NAIST/PSP), Yoshito Otake, Mazen Soufi, Akihiro Miura (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Masahiro Jinzaki (Keio Univ), Yoshinobu Sato (NAIST) MICT2024-30 MI2024-28 |
Patient-specific musculoskeletal modeling of the trunk and thigh is important for physiological simulation, surgical pla... [more] |
MICT2024-30 MI2024-28 pp.9-12 |
MICT, MI |
2024-12-05 10:05 |
Osaka |
Jikei University of Health Care Sciences |
Development of a three-dimensional statistical appearance modeling approach of muscles from CT images for the analysis of fatty degeneration in hip osteoarthritis patients Mazen Soufi, Yoshito Otake, Masachika Masuda (NAIST), Makoto Iwasa, Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MICT2024-31 MI2024-29 |
[more] |
MICT2024-31 MI2024-29 pp.13-16 |
MICT, MI |
2024-12-05 11:15 |
Osaka |
Jikei University of Health Care Sciences |
Enhancing the Accuracy of Bone Mineral Density Estimation from a Plain X-ray Image around Lumbar Spine Hibiki Tsuji, Yi Gu, Yoshito Otake (NAIST), Keisuke Uemura (Osaka Univ.), Mazen Soufi (NAIST), Masaki Takao (Ehime Univ.), Hugues Talbot (Univ. Paris-Saclay), Seiji Okada, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MICT2024-35 MI2024-33 |
[more] |
MICT2024-35 MI2024-33 pp.26-29 |
MI |
2024-03-04 10:46 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automated musculoskeletal segmentation of torso CT images Sanaa Amina Gourine, Mazen Soufi, Yoshito Otake (NAIST), Yuto Masaki (NAIST-PSP Corporation), Yoko Murakami, Yukihiro Nagatani, Yoshiyuki Watanabe (Shiga Univ), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2023-70 |
Musculoskeletal segmentation (MSK) in CT is helpful for several applications, including body composition analysis, biome... [more] |
MI2023-70 pp.122-126 |
MI |
2023-03-06 13:54 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Prediction of missing tooth shape from dental 3D scan data for automated dental treatment planning Ryota Nakatani (NAIST), Yuto Masaki (NAIST/PSP), Yoshito Otake (NAIST), Tomoko Ikawa, Yuko Shigeta, Takuya Kihara, Shuji Shigemoto, Takumi Ogawa (Tsurumi Univ.), Mazen Soufi, Yoshinobu Sato (NAIST) MI2022-83 |
Although dental CAD/CAM systems have contributed to dental treatment, it is difficult for current systems to design toot... [more] |
MI2022-83 pp.52-56 |
MI |
2023-03-06 14:07 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes Yuto Masaki, Yoshito Otake, Mazen Soufi, Yi Gu (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ.), Takuma Miyamoto, Yasuhito Tanaka (Nara Medical Univ), Seiji Okada, Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2022-84 |
Musculoskeletal modeling of the whole lower limbs that reflects patient-specific anatomical features is important in bio... [more] |
MI2022-84 pp.57-62 |
MI |
2023-03-06 14:33 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automated Musculoskeletal Foot Segmentation in CT Images for Patient-Specific Functional Foot Analysis Mazen Soufi, Yoshito Otake, Naoki Ito (NAIST), Yuto Masaki (NAIST/PSP), Tomoki Hakotani (NAIST), Takuma Miyamoto, Yasuhito Tanaka (Nara Med. Univ.), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-86 |
[more] |
MI2022-86 pp.69-74 |
MICT, MI |
2022-11-18 14:25 |
Aichi |
Nagoya Institute of Technology |
Development of a Statistical Model for Predicting Aging Change in Spine and Pelvis Based on Landmarks Detected in a Large Scale Torso CT Image Database Yuga Shimomoto, Yoshito Otake, Tomoki Hakotani, Mazen Soufi (NAIST), Hideki Shigematu (Nara Med. Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Toshiaki Akashi (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MICT2022-39 MI2022-68 |
One way to describe variations in skeletal shape is a statistical shape model (SSM), which statistically analyzes organ ... [more] |
MICT2022-39 MI2022-68 pp.29-32 |
MICT, MI |
2022-11-18 14:50 |
Aichi |
Nagoya Institute of Technology |
Investigation of multi-modal information fusion approach of histopathological images and ultrasound image-based measurement for automated diagnosis of cardiomyopathy Akihiro Kusuda, Mazen Soufi, Tomoki Hakotani, Yoshito Otake (NAIST), Kenji Onoue, Tomoya Nakano (NMU), Heima Hayashida (NIID), Yoshinobu Sato (NAIST) MICT2022-40 MI2022-69 |
[more] |
MICT2022-40 MI2022-69 pp.33-36 |
MI |
2022-09-15 10:00 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Automatic Multi-Measure Classification of Hip Osteoarthritis Based on Digitally-Reconstructed Radiographs using Deep Learning Masachika Masuda, Mazen Soufi, Yoshito Otake (NAIST), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-49 |
Hip Osteoarthritis (HOA) is usually diagnosed by radiographs. In addition to the degree of cartilage degeneration, the d... [more] |
MI2022-49 pp.1-4 |
MI |
2022-09-15 10:15 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Musculoskeletal decomposition for high-fidelity body composition analysis from a plain x-ray image Yi Gu, Yoshito Otake (NAIST), Keisuke Uemura (Osaka Univ.), Mazen Soufi (NAIST), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-50 |
[more] |
MI2022-50 pp.5-9 |
MI |
2022-09-15 10:30 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Evaluation of Patient-specific musculoskeletal simulation using MRI images in multiple pose Junya Ino, Yoshito Otake, Mazen Soufi (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-51 |
We aim at developing a patient-specific musculoskeletal simulation approach for predicting musculoskeletal behavior of m... [more] |
MI2022-51 pp.10-15 |
MI |
2022-09-15 10:45 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Virtual Standing Position Transformation from Supine CT using Whole-body Upright CT Scanner Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2022-52 |
The modeling of human motion relies on the accurate representation of the deformations in the musculoskeletal geometry t... [more] |
MI2022-52 pp.16-19 |
MI |
2022-01-27 09:56 |
Online |
Online |
Segmentation of musculoskeletal structures in supine and upright CTs towards quantitative analysis of musculoskeletal deformation in standing position Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2021-70 |
Musculoskeletal models that are faithful to medical images are important for clarifying the causes of movement disorders... [more] |
MI2021-70 pp.106-110 |
MI |
2022-01-27 10:09 |
Online |
Online |
Disease progression modeling of hip osteoarthrosis based on musculoskeletal CT segmentation Ganping Li, Mazen Soufi, Yoshito Otake (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2021-71 |
[more] |
MI2021-71 pp.111-116 |
MI |
2022-01-27 10:22 |
Online |
Online |
Patient-specific musculoskeletal simulation using an elastic volume simulator VIPER and medical image-based modeling Junya Ino, Yoshito Otake, Mazen Soufi (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2021-72 |
We aim at developing a patient-specific musculoskeletal simulation approach for predicting musculoskeletal behavior of m... [more] |
MI2021-72 pp.117-120 |
MI |
2022-01-27 10:48 |
Online |
Online |
Test-time Geometric Normalization to Cope With Foot Posture Variation in Musculoskeletal Segmentation from CT Images Ito Naoki, Mazen Soufi, Yoshito Otake (NAIST), Takuma Miyamoto, Yasuhito Tanaka (Nara Med. Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2021-73 |
[more] |
MI2021-73 pp.121-126 |
MI |
2021-03-15 15:30 |
Online |
Online |
Evaluation of Bayesian Active Learning for Segmentation of Liver and Spleen in Large Scale Abdominal MR Data Sets Bin Zhang, Yoshito Otake, Mazen Soufi (NAIST), Masatoshi Hori (Kobe University), Noriyuki Tomiyama (Osaka University), Yoshinobu Sato (NAIST) MI2020-60 |
Manual annotation in image segmentation is time-consuming and expensive. In order to obtain large number of annotated da... [more] |
MI2020-60 pp.62-65 |
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