Search Results - "IMANISHI, Keiho"

Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images by Nakao, Megumi, Imanishi, Keiho, Ueda, Nobuhiro, Imai, Yuichiro, Kirita, Tadaaki, Matsuda, Tetsuya

“…The reduction of metal artifacts in computed tomography (CT) images, specifically for strong artifacts generated from multiple metal objects, is a challenging…”
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Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase by Wu, Shuqiong, Nakao, Megumi, Imanishi, Keiho, Nakamura, Mitsuhiro, Mizowaki, Takashi, Matsuda, Tetsuya

“…Large slice thickness or slice increment causes information insufficiency of Computed Tomography (CT) data in the longitudinal direction, which degrades the…”
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Geometric and dosimetric impact of 3D generative adversarial network-based metal artifact reduction algorithm on VMAT and IMPT for the head and neck region by Nakamura, Mitsuhiro, Nakao, Megumi, Imanishi, Keiho, Hirashima, Hideaki, Tsuruta, Yusuke

“…Background We investigated the geometric and dosimetric impact of three-dimensional (3D) generative adversarial network (GAN)-based metal artifact reduction…”
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Interactive bone drilling using a 2D pointing device to support Microendoscopic Discectomy planning by Imanishi, Keiho, Nakao, Megumi, Kioka, Masahiko, Mori, Masato, Yoshida, Munehito, Takahashi, Takashi, Minato, Kotaro

“…Purpose To support preoperative planning of bone drilling for Microendoscopic Discectomy, we present a set of interactive bone-drilling methods using a general…”
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Improvement of Image Quality of Cone-beam CT Images by Three-dimensional Generative Adversarial Network by Hase, Takumi, Nakao, Megumi, Imanishi, Keiho, Nakamura, Mitsuhiro, Matsuda, Tetsuya

“…Artifacts and defects in Cone-beam Computed Tomography (CBCT) images are a problem in radiotherapy and surgical procedures. Unsupervised learning-based image…”
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Deep Learning Applied to Diffusion-weighted Imaging for Differentiating Malignant from Benign Breast Tumors without Lesion Segmentation by Iima, Mami, Mizuno, Ryosuke, Kataoka, Masako, Tsuji, Kazuki, Yamazaki, Toshiki, Minami, Akihiko, Honda, Maya, Imanishi, Keiho, Takada, Masahiro, Nakamoto, Yuji

“…"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo…”
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Evaluation of generalization ability for deep learning‐based auto‐segmentation accuracy in limited field of view CBCT of male pelvic region by Hirashima, Hideaki, Nakamura, Mitsuhiro, Imanishi, Keiho, Nakao, Megumi, Mizowaki, Takashi

“…Purpose The aim of this study was to evaluate generalization ability of segmentation accuracy for limited FOV CBCT in the male pelvic region using a full‐image…”
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多変量解析法にもとづいた日本語版中医体質調査票(CCMQ-J)における各質問間相関の評価ならびにBMI，年齢の推定モデルの構築 by 山森, 明弘, 許, 鳳浩, 渡辺, 知幸, 黄, 銘, 小野, 直亮, 佐藤, 哲大, 阿部, 哲朗, 上馬塲, 和夫, 川端, 克司, 今西, 勁峰, Altaf-Ul-Amin, Md, 朱, 燕波, 戴, 昭宇, 王, 琦, 金谷, 重彦, 太田, 富久, 鈴木, 信孝

“…日本語版Constitution in Chinese Medicine Questionnaire…”
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Deep Learning Based Lung Region Segmentation with Data Preprocessing by Generative Adversarial Nets by Nitta, Jumpei, Nakao, Megumi, Imanishi, Keiho, Matsuda, Tetsuya

“…In endoscopic surgery, it is necessary to understand the three-dimensional structure of the target region to improve safety. For organs that do not deform much…”
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Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction by Nakao, Megumi, Imanishi, Keiho, Ueda, Nobuhiro, Imai, Yuichiro, Kirita, Tadaaki, Matsuda, Tetsuya

“…IEEE Access, 8, 109453-109465 (2020) The reduction of metal artifacts in computed tomography (CT) images, specifically for strong artifacts generated from…”
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Practical haptic navigation with clickable 3D region input interface for supporting master-slave type robotic surgery by Nakao, Megumi, Imanishi, Keiho, Kuroda, Tomohiro, Oyama, Hiroshi

“…Conventional display in robotic surgery such as flat displays or stereoscopic displays decreases obtainable information around target tissue. For supporting…”
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[POSTER] Endoscopic Image Augmentation Reflecting Shape Changes in Cutting Procedures by Nakao, Megumi, Endo, Shota, Imanishi, Keiho, Matsuda, Tetsuya

“…This paper introduces a concept of endoscopic image augmentation that overlays shape changes to support cutting procedures. This framework handles the history…”
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Relationship between 60 Items in Japanese Version of the Constitution in Chinese Medicine Questionnaire (CCMQ-J) Based on Multivariate Analysis: Estimation of Aging and BMI by CCMQ-J Scores by YAMAMORI, Akihiro, KYO, Hoko, WATANABE, Tomoyuki, Huang, Ming, ONO, Naoaki, SATO, Tetsuo, ABE, Tetsuro, UEBABA, Kazuo, KAWABATA, Katsushi, IMANISHI, Keiho, Md., Altaf-Ul-Amin, ZHU, Yanbo, DAI, Zhaoyu, WANG, Qi, KANAYA, Shigehiko, OHTA, Tomihisa, SUZUKI, Nobutaka

“…Japanese version of the Constitution in Chinese Medicine Questionnaire (CCMQ-J) in Chinese consists of 60 items for 9 sub-scales called Gentleness,…”
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