Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks by Takumasa Tsuji, Yukina Hirata, Kenya Kusunose, Masataka Sata, Shinobu Kumagai, Kenshiro Shiraishi, Jun’ichi Kotoku

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Deep Learning for Detection of Exercise-Induced Pulmonary Hypertension Using Chest X-Ray Images by Kenya Kusunose, Yukina Hirata, Natsumi Yamaguchi, Yoshitaka Kosaka, Takumasa Tsuji, Jun’ichi Kotoku, Masataka Sata

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Deep learning approach for analyzing chest x-rays to predict cardiac events in heart failure by Kenya Kusunose, Yukina Hirata, Natsumi Yamaguchi, Yoshitaka Kosaka, Takumasa Tsuji, Jun’ichi Kotoku, Masataka Sata

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Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model by Masahiro Nakano, Akihiro Haga, Jun’ichi Kotoku, Taiki Magome, Yoshitaka Masutani, Shouhei Hanaoka, Satoshi Kida, Keiichi Nakagawa

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The incidence of double hypoglossal canal in Japanese: evaluation with multislice computed tomography. by Tomonori Kanda, Tomoki Kiritoshi, Marie Osawa, Keiko Toyoda, Hiroshi Oba, Jun'ichi Kotoku, Kazuhiro Kitajima, Shigeru Furui

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First experience of 192Ir source stuck event during high-dose-rate brachytherapy in Japan by Shinobu Kumagai, Norikazu Arai, Takeshi Takata, Daisuke Kon, Toshiya Saitoh, Hiroshi Oba, Shigeru Furui, Jun’ichi Kotoku, Kenshiro Shiraishi

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Causal relations of health indices inferred statistically using the DirectLiNGAM algorithm from big data of Osaka prefecture health checkups. by Jun'ichi Kotoku, Asuka Oyama, Kanako Kitazumi, Hiroshi Toki, Akihiro Haga, Ryohei Yamamoto, Maki Shinzawa, Miyae Yamakawa, Sakiko Fukui, Keiichi Yamamoto, Toshiki Moriyama

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Classification of optical coherence tomography images using a capsule network by Takumasa Tsuji, Yuta Hirose, Kohei Fujimori, Takuya Hirose, Asuka Oyama, Yusuke Saikawa, Tatsuya Mimura, Kenshiro Shiraishi, Takenori Kobayashi, Atsushi Mizota, Jun’ichi Kotoku

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Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data by Hiroe Seto, Asuka Oyama, Shuji Kitora, Hiroshi Toki, Ryohei Yamamoto, Jun’ichi Kotoku, Akihiro Haga, Maki Shinzawa, Miyae Yamakawa, Sakiko Fukui, Toshiki Moriyama

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Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data by Hiroe Seto, Asuka Oyama, Shuji Kitora, Hiroshi Toki, Ryohei Yamamoto, Jun’ichi Kotoku, Akihiro Haga, Maki Shinzawa, Miyae Yamakawa, Sakiko Fukui, Toshiki Moriyama

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