Search Results - "Soufi, Mazen"

Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition‐based radiomic features by Soufi, Mazen, Arimura, Hidetaka, Nagami, Noriyuki

“…Purpose To identify the optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition‐based (WDB) radiomic features in CT…”
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Radiomics with artificial intelligence for precision medicine in radiation therapy by Arimura, Hidetaka, Soufi, Mazen, Kamezawa, Hidemi, Ninomiya, Kenta, Yamada, Masahiro

“…Abstract Recently, the concept of radiomics has emerged from radiation oncology. It is a novel approach for solving the issues of precision medicine and how it…”
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Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network by Uemura, Keisuke, Otake, Yoshito, Takao, Masaki, Soufi, Mazen, Kawasaki, Akihiro, Sugano, Nobuhiko, Sato, Yoshinobu

“…Purpose In quantitative computed tomography (CT), manual selection of the intensity calibration phantom’s region of interest is necessary for calculating…”
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4D-foot analysis on effect of arch support on ankle, subtalar, and talonavicular joint kinematics by Miyamoto, Takuma, Otake, Yoshito, Nakao, Satoko, Kurokawa, Hiroaki, Kosugi, Shinichi, Taniguchi, Akira, Soufi, Mazen, Sato, Yoshinobu, Tanaka, Yasuhito

“…It has been difficult to study the effects of arch support on multiple joints simultaneously. Herein, we evaluated foot and ankle kinematics using a fully…”
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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 by Iwasa, Makoto, Takao, Masaki, Soufi, Mazen, Uemura, Keisuke, Otake, Yoshito, Hamada, Hidetoshi, Sato, Yoshinobu, Sugano, Nobuhiko, Okada, Seiji

“…Purpose Artificial intelligence (AI) technologies have enabled precise three-dimensional analysis of individual muscles on computed tomography (CT) or magnetic…”
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Rotational-motion measurement of the sacroiliac joint using upright MRI scanning and intensity-based registration: is there a sex difference? by Tani, Tetsuro, Takao, Masaki, Soufi, Mazen, Otake, Yoshito, Fukuda, Norio, Hamada, Hidetoshi, Uemura, Keisuke, Sato, Yoshinobu, Sugano, Nobuhiko

“…Purpose The sacroiliac joint (SIJ) has attracted increasing attention as a source of low back and groin pain, but the kinematics of SIJ against standing load…”
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Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs by Masuda, Masachika, Soufi, Mazen, Otake, Yoshito, Uemura, Keisuke, Kono, Sotaro, Takashima, Kazuma, Hamada, Hidetoshi, Gu, Yi, Takao, Masaki, Okada, Seiji, Sugano, Nobuhiko, Sato, Yoshinobu

“…Purpose Progression of hip osteoarthritis (hip OA) leads to pain and disability, likely leading to surgical treatment such as hip arthroplasty at the terminal…”
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Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis by Arimura, Hidetaka, Soufi, Mazen, Ninomiya, Kenta, Kamezawa, Hidemi, Yamada, Masahiro

“…Computer-aided diagnosis (CAD) is a field that is essentially based on pattern recognition that improves the accuracy of a diagnosis made by a physician who…”
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Preoperative Assessment of Vessel-to-acetabular Rim Distances in Non-contrast CT Images for Total Hip Arthroplasty by CHEN, Yingdong, SOUFI, Mazen, UEMURA, Keisuke, OTAKE, Yoshito, TAKAO, Masaki, IWAKOSHI, Shinichi, TANAKA, Toshihiro, SUGANO, Nobuhiko, SATO, Yoshinobu

“…Purpose: Blood vessel injuries during total hip arthroplasty (THA) pose life-threatening risks. This study aimed at creating a preoperative approach for…”
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Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis by Soufi, Mazen, Otake, Yoshito, Hori, Masatoshi, Moriguchi, Kazuya, Imai, Yasuharu, Sawai, Yoshiyuki, Ota, Takashi, Tomiyama, Noriyuki, Sato, Yoshinobu

“…Purpose Liver shape variations have been considered as feasible indicators of liver fibrosis. However, current statistical shape models (SSM) based on…”
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Translation of Cellular Protein Localization Using Convolutional Networks by Shigene, Kei, Hiasa, Yuta, Otake, Yoshito, Soufi, Mazen, Janewanthanakul, Suphamon, Nishimura, Tamako, Sato, Yoshinobu, Suetsugu, Shiro

“…Protein localization in cells has been analyzed by fluorescent labeling using indirect immunofluorescence and fluorescent protein tagging. However, the…”
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Exploration of temporal stability and prognostic power of radiomic features based on electronic portal imaging device images by Soufi, Mazen, Arimura, Hidetaka, Nakamoto, Takahiro, Hirose, Taka-aki, Ohga, Saiji, Umezu, Yoshiyuki, Honda, Hiroshi, Sasaki, Tomonari

“…•An approach to select temporally stable radiomic features is suggested.•Seven features were found to be temporally stable and have prognostic powers.•EPID…”
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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 by Uemura, Keisuke, Otake, Yoshito, Takao, Masaki, Makino, Hiroki, Soufi, Mazen, Iwasa, Makoto, Sugano, Nobuhiko, Sato, Yoshinobu

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Feasibility of differential geometry-based features in detection of anatomical feature points on patient surfaces in range image-guided radiation therapy by Soufi, Mazen, Arimura, Hidetaka, Nakamura, Katsumasa, Lestari, Fauzia P., Haryanto, Freddy, Hirose, Taka-aki, Umedu, Yoshiyuki, Shioyama, Yoshiyuki, Toyofuku, Fukai

“…Purpose To investigate the feasibility of differential geometry features in the detection of anatomical feature points on a patient surface in…”
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Automatic orbital segmentation using deep learning-based 2D U-net and accuracy evaluation: A retrospective study by Morita, Daiki, Kawarazaki, Ayako, Koimizu, Jungen, Tsujiko, Shoko, Soufi, Mazen, Otake, Yoshito, Sato, Yoshinobu, Numajiri, Toshiaki

“…The purpose of this study was to verify whether the accuracy of automatic segmentation (AS) of computed tomography (CT) images of fractured orbits using deep…”
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Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography by Gu, Yi, Otake, Yoshito, Uemura, Keisuke, Soufi, Mazen, Takao, Masaki, Talbot, Hugues, Okada, Seiji, Sugano, Nobuhiko, Sato, Yoshinobu

“…Osteoporosis is a prevalent bone disease that causes fractures in fragile bones, leading to a decline in daily living activities. Dual-energy X-ray…”
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Scaphoid fractures and non-union: a review of current evidence by Soufi, Mazen, See, Abbas, Hassan, Sami

“…Scaphoid fractures are common orthopaedic injuries that can have a significant impact on patient wellbeing. Due to its unique anatomy, it is both challenging…”
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Multidimensional Image Analysis for High Precision Radiation Therapy by Arimura, Hidetaka, Soufi, Mazen, Haekal, Mohammad

“…High precision radiation therapy (HPRT) has been improved by utilizing conventional image engineering technologies. However, different frameworks are necessary…”
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Why upright standing men urinate more efficiently than in supine position: A morphological analysis with real‐time magnetic resonance imaging by Shimatani, Kimihiro, Soufi, Mazen, Sato, Yoshinobu, Yamamoto, Shingo, Kanematsu, Akihiro

“…Purpose Few studies have examined the effects of body position on urination efficiency morphologically. We aimed to dissect out the anatomical changes of…”
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Hybrid representation-enhanced sampling for Bayesian active learning in musculoskeletal segmentation of lower extremities by Li, Ganping, Otake, Yoshito, Soufi, Mazen, Taniguchi, Masashi, Yagi, Masahide, Ichihashi, Noriaki, Uemura, Keisuke, Takao, Masaki, Sugano, Nobuhiko, Sato, Yoshinobu

“…Purpose Manual annotations for training deep learning models in auto-segmentation are time-intensive. This study introduces a hybrid representation-enhanced…”
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