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ORCIDMazen Soufi
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2020 – today
- 2024
[j7]Masachika Masuda
, Mazen Soufi, Yoshito Otake, Keisuke Uemura, Sotaro Kono, Kazuma Takashima, Hidetoshi Hamada, Yi Gu, Masaki Takao, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs. Int. J. Comput. Assist. Radiol. Surg. 19(5): 903-915 (2024)- [c6]Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada, Nobuhiko Sugano, Hugues Talbot, Yoshinobu Sato:
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation. MICCAI (7) 2024: 3-13 - [c5]Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada, Nobuhiko Sugano, Hugues Talbot, Yoshinobu Sato:
Enhancing Quantitative Image Synthesis Through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-Ray Image. SASHIMI@MICCAI 2024: 134-145 - [c4]Ganping Li, Yoshito Otake, Mazen Soufi, Masachika Masuda, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato:
Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database. MICCAI (3) 2024: 368-378 - [i9]Masachika Masuda, Mazen Soufi, Yoshito Otake, Keisuke Uemura, Sotaro Kono, Kazuma Takashima, Hidetoshi Hamada, Yi Gu, Masaki Takao, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs. CoRR abs/2401.00159 (2024) - [i8]Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada, Nobuhiko Sugano, Hugues Talbot, Yoshinobu Sato:
Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray Image. CoRR abs/2407.20495 (2024) - [i7]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:
Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images. CoRR abs/2409.02770 (2024) - [i6]Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada, Nobuhiko Sugano, Hugues Talbot, Yoshinobu Sato:
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation. CoRR abs/2409.16702 (2024) - 2023
- [j6]Makoto Iwasa, Masaki Takao, Mazen Soufi, Keisuke Uemura, Yoshito Otake, Hidetoshi Hamada, Yoshinobu Sato, Nobuhiko Sugano, Seiji Okada:
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. Int. J. Comput. Assist. Radiol. Surg. 18(1): 71-78 (2023) - [j5]Tetsuro Tani, Masaki Takao, Mazen Soufi, Yoshito Otake, Norio Fukuda, Hidetoshi Hamada, Keisuke Uemura, Yoshinobu Sato, Nobuhiko Sugano:
Rotational-motion measurement of the sacroiliac joint using upright MRI scanning and intensity-based registration: is there a sex difference? Int. J. Comput. Assist. Radiol. Surg. 18(1): 79-84 (2023) - [j4]Yi Gu, Yoshito Otake, Keisuke Uemura, Mazen Soufi, Masaki Takao, Hugues Talbot, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography. Medical Image Anal. 90: 102970 (2023) - [c3]Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Yuta Hiasa, Hugues Talbot, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
MSKdeX: Musculoskeletal (MSK) Decomposition from an X-Ray Image for Fine-Grained Estimation of Lean Muscle Mass and Muscle Volume. MICCAI (7) 2023: 497-507 - [i5]Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Yuta Hiasa, Hugues Talbot, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume. CoRR abs/2305.19920 (2023) - [i4]Yi Gu, Yoshito Otake, Keisuke Uemura, Mazen Soufi, Masaki Takao, Hugues Talbot, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato:
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography. CoRR abs/2307.11513 (2023) - [i3]Ganping Li, Yoshito Otake, Mazen Soufi, Masashi Taniguchi, Masahide Yagi, Noriaki Ichihashi, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato:
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities. CoRR abs/2307.13986 (2023) - 2022
- [c2]Yi Gu, Yoshito Otake, Keisuke Uemura, Mazen Soufi, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato:
BMD-GAN: Bone Mineral Density Estimation Using X-Ray Image Decomposition into Projections of Bone-Segmented Quantitative Computed Tomography Using Hierarchical Learning. MICCAI (6) 2022: 644-654 - [i2]Yi Gu, Yoshito Otake, Keisuke Uemura, Mazen Soufi, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato:
BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning. CoRR abs/2207.03210 (2022) - 2021
- [j3]Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato:
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network. Int. J. Comput. Assist. Radiol. Surg. 16(11): 1855-1864 (2021) - [c1]Shuntaro Mizoe, Yoshito Otake, Takuma Miyamoto, Mazen Soufi, Satoko Nakao, Yasuhito Tanaka, Yoshinobu Sato:
4D-Foot: A Fully Automated Pipeline of Four-Dimensional Analysis of the Foot Bones Using Bi-plane X-Ray Video and CT. MICCAI (4) 2021: 182-192 - 2020
- [i1]Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato:
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network. CoRR abs/2012.11151 (2020)
2010 – 2019
- 2019
- [j2]Mazen Soufi, Yoshito Otake, Masatoshi Hori, Kazuya Moriguchi, Yasuharu Imai, Yoshiyuki Sawai, Takashi Ota, Noriyuki Tomiyama, Yoshinobu Sato:
Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2083-2093 (2019) - 2016
- [j1]Mazen Soufi, Hidetaka Arimura, Katsumasa Nakamura, Fauzia P. Lestari, Freddy Haryanto, Taka-aki Hirose, Yoshiyuki Umedu, Yoshiyuki Shioyama, Fukai Toyofuku:
Feasibility of differential geometry-based features in detection of anatomical feature points on patient surfaces in range image-guided radiation therapy. Int. J. Comput. Assist. Radiol. Surg. 11(11): 1993-2006 (2016)
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