Publications

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
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Makoto Iwasa, Masaki Takao, Mazen Soufi, Keisuke Uemura, Yoshito Otake, Hidetoshi Hamada, Yoshinobu Sato, Nobuhiko Sugano, Seiji Okada
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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
Deep-learning-based automatic facial bone segmentation using a two-dimensional U-Net
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D Morita, Mazen Soufi, S Tsujiko, Y Otake, Y Sato, T Numajiri
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Deep-learning-based automatic facial bone segmentation using a two-dimensional U-Net
Development of an open-source measurement system to assess the areal bone mineral density of the proximal femur from clinical CT images
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Keisuke Uemura, Yoshito Otake, Masaki Takao, Hiroki Makino, Mazen Soufi, Makoto Iwasa, Nobuhiko Sugano, Yoshinobu Sato
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Development of an open-source measurement system to assess the areal bone mineral density of the proximal femur from clinical CT images
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network
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Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato
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Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network
Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis
An application of a statistical shape modelling approach using partial least squares regression (PLSR), which explicitly uses the stage as supervised information, for understanding the shape variations associated with the stage as well as predicting it in contrast-enhanced MR images.
Mazen Soufi, Yoshito Otake, Masatoshi Hori, Kazuya Moriguchi, Yasuharu Imai, Yoshiyuki Sawai, Takashi Ota, Noriyuki Tomiyama, Yoshinobu Sato
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Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis
Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition‐based radiomic features
This study has revealed the potential of Symlet and Biorthogonal mother wavelets in the survival prediction of lung cancer patients by using WDB radiomic features in CT images.
Mazen Soufi, Hidetaka Arimura, Noriyuki Nagami
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Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition‐based radiomic features