Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
R |
2023-12-07 15:40 |
Tokyo |
Kikai-Shinko-Kaikan Bldg (Primary: On-site, Secondary: Online) |
Dependability/Risk-related Measures for Safety-related Systems conforming to Functional Safety
-- Formulation of MTTFF, Dangerous Failure Rate λ and Restoration Rate μ -- Ko Kawashima (ORIENTAL MOTOR), Yoshinobu Sato (Institute of Healthcare Quality ImprovementInstitute of Healthca) R2023-53 |
When the overall system does not comply with the independence requirements between the demand and the reliability charac... [more] |
R2023-53 pp.18-23 |
R |
2023-12-07 16:05 |
Tokyo |
Kikai-Shinko-Kaikan Bldg (Primary: On-site, Secondary: Online) |
Formulation of Dependability/Risk-related Measures for Safety-Related Systems conforming to Functional Safety
-- Systems with the Faults Detected by Proof-Testing (PT) and Subsequent Corrective Maintenance -- Yoshinobu Sato (Institute of HCI) R2023-54 |
The part 6 of basic safety standard of IEC 61508 describes the guidelines to estimate the dangerous failure rates (PFH) ... [more] |
R2023-54 pp.24-29 |
R |
2023-11-03 15:20 |
Ishikawa |
The Kanazawa Chamber of Commerce and Industry (Primary: On-site, Secondary: Online) |
Formulation of Process Safety Time and Function Accomplishment Time for Assessment of SOTIF Yoshinobu Sato (Institute of HQI) R2023-48 |
Framework of functional safety provides how to control and/or reduce safety risk by (a) safety function(s) performed by ... [more] |
R2023-48 pp.20-25 |
R |
2023-09-28 15:45 |
Fukuoka |
(Primary: On-site, Secondary: Online) |
Functional safety assessment of multiple protection-layers with self-diagnosis and common-cause failures Yoshinobu Sato (IHQI) R2023-42 |
In the present paper, firstly necessary and sufficient conditions for safety functions (SFs) to form multi-protection la... [more] |
R2023-42 pp.28-33 |
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 |
R |
2022-12-15 14:30 |
Online |
Online |
Metric for Dependability/Risk and Functional Safety Ko Kawashima (ORIENTAL MOTOR), Yoshinobu Sato (Institute of Healthcare Quality Improvement, Tokyo Healthcare Fo) R2022-44 |
The risk due to malfunctioning of safety functions performed by electrical/electronic/programmable electronic safety-rel... [more] |
R2022-44 pp.1-6 |
R |
2022-12-15 14:55 |
Online |
Online |
Hazards/risks caused by coupling of systems and functional safety Masahiko Takeichi (UL Japan), Yoshinobu Sato (Institute of Healthcare Quality Improvement, Public Interest Inc) R2022-45 |
Recently assurance of safety measures against complicated systems failures has been urgent issues for a system of system... [more] |
R2022-45 pp.7-12 |
R |
2022-12-15 15:20 |
Online |
Online |
Modeling and Formulation for Estimation of Hazardous Event Rate Yoshinobu Sato (Institute of Healthcare Quality Improvemen) R2022-46 |
Safety-related risk is defined by use of two characteristics of “severity of harm potentially brought about by a hazardo... [more] |
R2022-46 pp.13-18 |
R |
2022-12-15 15:45 |
Online |
Online |
The trends of IEC/TC 56 Dependability Ko Kawashima (ORIENTAL MOTOR), Yoshinobu Sato (Institute for Healthcare Quality Improvement), Yoshiki Kinoshita (Kanagawa Univ.), Hiroyuki Goto (D.SS), Akihiko Masuda (Reliability Seven Tools (R7) Practice Studio), Shigeru Yanagi (National Defense Academy), Makoto Takeyama (Kanagawa Univ.), Tadahiro Shibutani (Yokohama National Univ.) R2022-47 |
IEC/TC 56 is in charge of developing and revising international dependability standards related horizontally to both of ... [more] |
R2022-47 pp.19-24 |
MICT, MI |
2022-11-18 14:00 |
Aichi |
Nagoya Institute of Technology |
Extrapolation of partial X-ray image for prediction of whole body musculoskeletal structure Weiqi Zhang, Yi Gu, Yoshito Otake, Soufi Mazen (NAIST), 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) MICT2022-38 MI2022-67 |
Image defects and partial disorders are common problems in medical imaging. Image inpainting and extrapolation are helpf... [more] |
MICT2022-38 MI2022-67 pp.24-28 |
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 |