Accuracy fo 3D-MR image registration to evaluate lesion size change in the femoral hesd osteonecrosis. - Masaki Takao; Nobuhiko Sugano; Takashi Nishii; Jun Masumoto; Hidenobu Miki; Yoshinobu Sato; Shinichi Tamura; Hideki Yoshikawa (CARS, 2003)

Host bone coverage requirements for press-fit acetabular cup fixation. 3D-CT analysis. - Masaki Takao; Nobuhiko Sugano; Takashi Nishii; Hidenobu Miki; Tsuyoshi Koyama; Hideki Yoshikawa (CARS, 2004)

Automated Preoperative Planning of Femoral Component for Total Hip Arthroplasty (THA) from 3D CT Images. - Itaru Otomaru; Masahiko Nakamoto; Masaki Takao; Nobuhiko Sugano; Yoshiyuki Kagiyama; Hideki Yoshikawa; Yukio Tada; Yoshinobu Sato (MIAR, 2008)

Construction of a Statistical Surgical Plan Atlas for Automated 3D Planning of Femoral Component in Total Hip Arthroplasty. - Masahiko Nakamoto; Itaru Otomaru; Masaki Takao; Nobuhiko Sugano; Yoshiyuki Kagiyama; Hideki Yoshikawa; Yukio Tada; Yoshinobu Sato (MICCAI (2), 2008)

Expertise Modeling for Automated Planning of Acetabular Cup in Total Hip Arthroplasty Using Combined Bone and Implant Statistical Atlases. - Itaru Otomaru; Kazuto Kobayashi; Toshiyuki Okada; Masahiko Nakamoto; Yoshiyuki Kagiyama; Masaki Takao; Nobuhiko Sugano; Yukio Tada; Yoshinobu Sato (MICCAI (1), 2009)

Automated Segmentation of the Femur and Pelvis from 3D CT Data of Diseased Hip Using Hierarchical Statistical Shape Model of Joint Structure. - Futoshi Yokota; Toshiyuki Okada; Masaki Takao; Nobuhiko Sugano; Yukio Tada; Yoshinobu Sato (MICCAI (1), 2009)

Automated preoperative planning of femoral stem in total hip arthroplasty from 3D CT data: Atlas-based approach and comparative study. - Itaru Otomaru; Masahiko Nakamoto; Yoshiyuki Kagiyama; Masaki Takao; Nobuhiko Sugano; Noriyuki Tomiyama; Yukio Tada; Yoshinobu Sato (Medical Image Anal., 2012)

Optimization of surgical planning of total hip arthroplasty based on computational anatomy. - Yoshiyuki Kagiyama; Masaki Takao; Nobuhiko Sugano; Yukio Tada; Noriyuki Tomiyama; Yoshinobu Sato (EMBC, 2013)

Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models. - Futoshi Yokota; Toshiyuki Okada; Masaki Takao; Nobuhiko Sugano; Yukio Tada; Noriyuki Tomiyama; Yoshinobu Sato (MICCAI (2), 2013)

Cup Implant Planning Based on 2-D/3-D Radiographic Pelvis Reconstruction - First Clinical Results. - Steffen Schumann; Yoshinobu Sato; Yuki Nakanishi; Futoshi Yokota; Masaki Takao; Nobuhiko Sugano; Guoyan Zheng (IEEE Trans. Biomed. Eng., 2015)

Statistical shape modeling of compound musculoskeletal structures around the thigh region. - Chengwen Chu; Masaki Takao; Takeshi Ogawa; Futoshi Yokota; Yoshinobu Sato; Guoyan Zheng (ISBI, 2016)

CT-based automated planning of acetabular cup for total hip arthroplasty (THA) based on hybrid use of two statistical atlases. - Yoshiyuki Kagiyama; Itaru Otomaru; Masaki Takao; Nobuhiko Sugano; Masahiko Nakamoto; Futoshi Yokota; Noriyuki Tomiyama; Yukio Tada; Yoshinobu Sato (Int. J. Comput. Assist. Radiol. Surg., 2016)

Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume. - Yoshito Otake; Kohei Miyamoto; Axel Ollivier; Futoshi Yokota; Norio Fukuda; Lauren J. O'Donnell; Carl-Fredrik Westin; Masaki Takao; Nobuhiko Sugano; Beom Sun Chung; Jin-Seo Park; Yoshinobu Sato (MSKI@MICCAI, 2017)

Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images. - Yoshito Otake; Futoshi Yokota; Norio Fukuda; Masaki Takao; Shu Takagi; Naoto Yamamura; Lauren J. O'Donnell; Carl-Fredrik Westin; Nobuhiko Sugano; Yoshinobu Sato (MICCAI (1), 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; et al. (Int. J. Comput. Assist. Radiol. Surg., 2017)

Comparison of rotational acetabular osteotomy performed with navigation by surgeons with different levels of experience of osteotomies. - Masaki Takao; Takashi Nishii; Takashi Sakai; Nobuhiko Sugano (Int. J. Comput. Assist. Radiol. Surg., 2017)

Error range in proximal femoral osteotomy using computer tomography-based navigation. - Masaki Takao; Takashi Sakai; Hidetoshi Hamada; Nobuhiko Sugano (Int. J. Comput. Assist. Radiol. Surg., 2017)

Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN - Effects of Gradient Consistency Loss and Training Data Size. - Yuta Hiasa; Yoshito Otake; Masaki Takao; Takumi Matsuoka; Kazuma Takashima; Aaron Carass; Jerry L. Prince; Nobuhiko Sugano; Yoshinobu Sato (SASHIMI@MICCAI, 2018)

Registration-Based Patient-Specific Musculoskeletal Modeling Using High Fidelity Cadaveric Template Model. - Yoshito Otake; Masaki Takao; Norio Fukuda; Shu Takagi; Naoto Yamamura; Nobuhiko Sugano; Yoshinobu Sato (MICCAI (1), 2018)

Factors related to disagreement in implant size between preoperative CT-based planning and the actual implants used intraoperatively for total hip arthroplasty. - Takeshi Ogawa; Masaki Takao; Takashi Sakai; Nobuhiko Sugano (Int. J. Comput. Assist. Radiol. Surg., 2018)

Automated muscle segmentation from CT images of the hip and thigh using a hierarchical multi-atlas method. - Futoshi Yokota; Yoshito Otake; Masaki Takao; Takeshi Ogawa; Toshiyuki Okada; Nobuhiko Sugano; Yoshinobu Sato (Int. J. Comput. Assist. Radiol. Surg., 2018)

Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size. - Yuta Hiasa; Yoshito Otake; Masaki Takao; Takumi Matsuoka; Kazuma Takashima; Jerry L. Prince; Nobuhiko Sugano; Yoshinobu Sato (CoRR, 2018)

Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. - Mitsuki Sakamoto; Yuta Hiasa; Yoshito Otake; Masaki Takao; Yuki Suzuki; Nobuhiko Sugano; Yoshinobu Sato (CoRR, 2019)

Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model. - Yuta Hiasa; Yoshito Otake; Masaki Takao; Takeshi Ogawa; Nobuhiko Sugano; Yoshinobu Sato (CoRR, 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)

Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph. - Ata Jodeiri; Reza Aghaeizadeh Zoroofi; Yuta Hiasa; Masaki Takao; Nobuhiko Sugano; Yoshinobu Sato; Yoshito Otake (CoRR, 2019)

Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework. - Ata Jodeiri; Reza Aghaeizadeh Zoroofi; Yuta Hiasa; Masaki Takao; Nobuhiko Sugano; Yoshinobu Sato; Yoshito Otake (Comput. Methods Programs Biomed., 2020)

Automated Muscle Segmentation from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling. - Yuta Hiasa; Yoshito Otake; Masaki Takao; Takeshi Ogawa; Nobuhiko Sugano; Yoshinobu Sato (IEEE Trans. Medical Imaging, 2020)

Bayesian Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT Using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction. - Mitsuki Sakamoto; Yuta Hiasa; Yoshito Otake; Masaki Takao; Yuki Suzuki; Nobuhiko Sugano; Yoshinobu Sato (J. Signal Process. Syst., 2020)

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)

Application of Participatory Design Methodology in AR: Developing Prototypes for Two Context Scenarios. - Isidro Butaslac III; Alessandro Luchetti; Junya Ino; Yuichiro Fujimoto; Taishi Sawabe; Masayuki Kanbara; Hirokazu Kato 001; Keisuke Uemura; Yoshito Otake; Yoshinobu Sato; Masaki Takao; Nobuhiko Sugano (ISMAR Adjunct, 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 (MICCAI (6), 2022)

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 (MICCAI (7), 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., 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., 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., 2023)

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 (MICCAI (7), 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 (SASHIMI@MICCAI, 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 (MICCAI (3), 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; et al. (CoRR, 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., 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., 2024)

Volume and quality of the gluteal muscles are associated with early physical function after total hip arthroplasty. - Makoto Iwasa; Keisuke Uemura; Mazen Soufi; Yoshito Otake; Tomofumi Kinoshita; Tatsuhiko Kutsuna; Kazuma Takashima; Hidetoshi Hamada; Yoshinobu Sato; Nobuhiko Sugano; Seiji Okada; Masaki Takao (Int. J. Comput. Assist. Radiol. Surg., 2025)

Artificial intelligence-based analysis of lower limb muscle mass and fatty degeneration in patients with knee osteoarthritis and its correlation with Knee Society Score. - Kohei Kono; Tomofumi Kinoshita; Mazen Soufi; Yoshito Otake; Yuto Masaki; Keisuke Uemura; Tatsuhiko Kutsuna; Kazunori Hino; Takuma Miyamoto; Yasuhito Tanaka; Yoshinobu Sato; Masaki Takao (Int. J. Comput. Assist. Radiol. Surg., 2025)