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| 1 | AFP, AFP-L3, DCP, and GP73 as markers for monitoring treatment response and recurrence and as surrogate markers of clinicopathological variables of HCC显示文摘 | Kentaroh Yamamoto Hiroshi Imamura Yutaka Matsuyama Yukio Kume Hitoshi Ikeda Gary L. Norman Zakera Shums Taku Aoki Kiyoshi Hasegawa Yoshifumi Beck Yasuhiko Sugawara Norihiro Kokudo | 2010 | Journal of Gastroenterology2010，，12： | 6 |
| 2 | Tubulopapillary adenoma of the gallbladder accompanied by bile duct tumor thrombus显示文摘Intraductal papillary mucinous neoplasm of the bile duct(IPNB)is recognized as a precancerous lesion;however,both its pathogenesis and progression remain unclear.We present here a case of IPNB arising from the gallbladder accompanied by bile duct tumor thrombus in a 79-year-old female.The resected specimen revealed a tubulopapillary adenoma with no malignant cells.This case suggests that even in the absence of malignant cells,these tumors can behave as malignant tumors requiring aggressive treatment.Even if no malignant cells are present,intraepithelial neoplasms occurring in the ampullopancreatobiliary tract can behave as malignant tumors. | Kentaroh Yamamoto Fumio Yamamoto Atsuhiro Maeda Hirotsune Igimi Mami Yamamoto Ryosuke Yamaguchi Yuichi Yamashita | 2014 | World Journal of Gastroenterology2014，20，26： | 3 |
| 3 | Bronchial arteriovenous malformation with large aneurysm, resected by video-assisted thoracic surgery显示文摘 | Kentaroh Miyoshi Shigeharu Moriyama Sugato Nawa | 2009 | General Thoracic and Cardiovascular Surgery2009，，： | 1 |
| 4 | AFP, AFP-L3, DCP, and GP73 as markers for monitoring treatment response and recurrence and as surrogate markers of clinicopathological variables of HCC显示文摘 | Kentaroh Yamamoto Hiroshi Imamura Yutaka Matsuyama Yukio Kume Hitoshi Ikeda Gary L. Norman Zakera Shums Taku Aoki Kiyoshi Hasegawa Yoshifumi Beck Yasuhiko Sugawara Norihiro Kokudo | 2010 | Journal of Gastroenterology2010，，12： | 1 |
| 5 | AFP, AFP-L3, DCP, and GP73 as markers for monitoring treatment response and recurrence and as surrogate markers of clinicopathological variables of HCC显示文摘 | Kentaroh Yamamoto Hiroshi Imamura Yutaka Matsuyama Yukio Kume Hitoshi Ikeda Gary L. Norman Zakera Shums Taku Aoki Kiyoshi Hasegawa Yoshifumi Beck Yasuhiko Sugawara Norihiro Kokudo | 2010 | Journal of Gastroenterology2010，，12： | 1 |
| 6 | Significance of Alpha-Fetoprotein and Des-γ-Carboxy Prothrombin in Patients with Hepatocellular Carcinoma Undergoing Hepatectomy显示文摘 | Kentaroh Yamamoto MD Hiroshi Imamura MD Yutaka Matsuyama PhD Kiyoshi Hasegawa MD Yoshifumi Beck MD Yasuhiko Sugawara MD Masatoshi Makuuchi MD Norihiro Kokudo MD | 2009 | Annals of Surgical Oncology2009，，10： | 1 |
| 7 | AFP, AFP- L3, DCP, and GP73 as markers for monitoring treatment response and recurrence and as surrogate marker of clinicopathological variables of HCC显示文摘 | Kentaroh Y Hiroshi I Y utaka M | 2010 | Gastroenterol2010，45，12： | 1 |
| 8 | Influence of degree of crystallinity and syndiotacticity on infrared spectra of solid PVA显示文摘 | Sugiura Kentaroh Hashimoto Morio Matsuzawa Shuji | 2001 | J Appl Polym Sei2001，82，5： | 1 |
| 9 | Spiral Wave Dynamics in Neocortex显示文摘 | Xiaoying Huang Weifeng Xu Jianmin Liang Kentaroh Takagaki Xin Gao Jian-young Wu | 2010 | Neuron2010，，5： | 1 |
| 10 | Formation of air stable carbon-skinned iron nanocrystals from FeC2显示文摘 | Kentaroh Kosugi Junaid Bushiri M Nobuyuki Nishi | 2004 | Appl Phys Lett2004，84，： | 1 |
| 11 | A Bitcoin Address Multi-Classification Mechanism Based on Bipartite Graph-Based Maximization Consensus显示文摘Bitcoin is widely used as the most classic electronic currency for various electronic services such as exchanges,gambling,marketplaces,and also scams such as high-yield investment projects.Identifying the services operated by a Bitcoin address can help determine the risk level of that address and build an alert model accordingly.Feature engineering can also be used to flesh out labeled addresses and to analyze the current state of Bitcoin in a small way.In this paper,we address the problem of identifying multiple classes of Bitcoin services,and for the poor classification of individual addresses that do not have significant features,we propose a Bitcoin address identification scheme based on joint multi-model prediction using the mapping relationship between addresses and entities.The innovation of the method is to(1)Extract as many valuable features as possible when an address is given to facilitate the multi-class service identification task.(2)Unlike the general supervised model approach,this paper proposes a joint prediction scheme for multiple learners based on address-entity mapping relationships.Specifically,after obtaining the overall features,the address classification and entity clustering tasks are performed separately,and the results are subjected to graph-basedmaximization consensus.The final result ismade to baseline the individual address classification results while satisfying the constraint of having similarly behaving entities as far as possible.By testing and evaluating over 26,000 Bitcoin addresses,our feature extraction method captures more useful features.In addition,the combined multi-learner model obtained results that exceeded the baseline classifier reaching an accuracy of 77.4%. | Lejun Zhang Junjie Zhang Kentaroh Toyoda Yuan Liu Jing Qiu Zhihong Tian Ran Guo | 2024 | Computer Modeling in Engineering & Sciences2024，139，4： | 0 |
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