Information Entropy Measure for Evaluation of Image Quality von Tsai, Du-Yih, Lee, Yongbum, Matsuyama, Eri

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The effect of breast density on the missed lesion rate in screening digital mammography determined using an adjustable-density breast phantom tailored to Japanese women von Yamamuro, Mika, Asai, Yoshiyuki, Hashimoto, Naomi, Yasuda, Nao, Ozaki, Yoshiaki, Ishii, Kazunari, Lee, Yongbum

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Evaluation of dose reduction potential in scatter-corrected bedside chest radiography using U-net von Onodera, Shu, Lee, Yongbum, Tanaka, Yoshitaka

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Development of a deep learning model to identify hyperdense MCA sign in patients with acute ischemic stroke von Shinohara, Yuki, Takahashi, Noriyuki, Lee, Yongbum, Ohmura, Tomomi, Kinoshita, Toshibumi

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Evaluation of Physical and Psychological Burden of Subjects in Mammography von Lee, Yongbum, Uchiyama, Mieko

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Relationship between task-based modulation transfer function and evaluation index of tumor area in dual energy subtraction chest radiography von Onodera, Shu, Lee, Yongbum, Kawabata, Tomoyoshi

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Physisorption and Chemisorption of SF6 by Transition Metal-Porphyrin Structure Embedded on Graphene Surface with Different Hapticities von Bae, Hyeonhu, Lee, Yongbum, Lee, Hoonkyung, Choi, Jin Sik, Kim, Ki Chul, Hussain, Tanveer

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Automated heart segmentation using U-Net in pediatric cardiac CT von Yoshida, Akifumi, Lee, Yongbum, Yoshimura, Norihiko, Kuramoto, Tatsuya, Hasegawa, Akira, Kanazawa, Tsutomu

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Usefulness of deep learning-assisted identification of hyperdense MCA sign in acute ischemic stroke: comparison with readers’ performance von Shinohara, Yuki, Takahashi, Noriyuki, Lee, Yongbum, Ohmura, Tomomi, Umetsu, Atsushi, Kinoshita, Fumiko, Kuya, Keita, Kato, Ayumi, Kinoshita, Toshibumi

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Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique von Yongbum Lee, Hara, T., Fujita, H., Itoh, S., Ishigaki, T.

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Removing Unsharpness of Coronary Angiography Moving Images Using Deep Learning von HASEGAWA, Akira, NOGUCHI, Eika, LEE, Yongbum

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Computerized Classification of Right or Left and Directions of Arms in Forearm X-ray Images Using Deep Learning von YAMADA, Tomona, LEE, Yongbum, HASEGAWA, Akira

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An automated detection method for the MCA dot sign of acute stroke in unenhanced CT von Takahashi, Noriyuki, Lee, Yongbum, Tsai, Du-Yih, Matsuyama, Eri, Kinoshita, Toshibumi, Ishii, Kiyoshi

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A Modified Undecimated Discrete Wavelet Transform Based Approach to Mammographic Image Denoising von Matsuyama, Eri, Tsai, Du-Yih, Lee, Yongbum, Tsurumaki, Masaki, Takahashi, Noriyuki, Watanabe, Haruyuki, Chen, Hsian-Min

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A Wavelet Coefficient-Based Convolutional Neural Network for Histological Classification of Lung Cancer in CT images von MATSUYAMA, Eri, LEE, Yongbum, TAKAHASHI, Noriyuki, TSAI, Du-Yih

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Effects of Communication Robot on Distress Reduction in Mammography von Lee, Yongbum, Uchiyama, Mieko, Hasegawa, Akira, Saitoh, Rika

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The Effect of Humorous Stimuli on Alleviating Pain during Mammography: A Preliminary Study von Lee, Yongbum, Uchiyama, Mieko

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Z-score-based semi-quantitative analysis of the volume of the temporal horn of the lateral ventricle on brain CT images von Takahashi, Noriyuki, Kinoshita, Toshibumi, Ohmura, Tomomi, Lee, Yongbum, Matsuyama, Eri, Toyoshima, Hideto, Tsai, Du-Yih

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Z -score Mapping Method for Extracting Hypoattenuation Areas of Hyperacute Stroke in Unenhanced CT von Takahashi, Noriyuki, MS, Tsai, Du-Yih, PhD, Lee, Yongbum, PhD, Kinoshita, Toshibumi, MD, PhD, Ishii, Kiyoshi, MD

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Development of highly sensitive and stable humidity sensor for real-time monitoring of dissolved moisture in transformer-insulating oil von Kondalkar, Vijay V., Ryu, Geonhee, Lee, Yongbum, Lee, Keekeun

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