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| 1 | Advanced 4-node tetrahedrons显示文摘 | TIAN Rong MATSUBARA Hitoshi YAGAWA Genki | 2006 | International Journal for Numerical Methods in Engineering2006，68，： | 1 |
| 2 | Incremental Prognostic Significance of Peripheral Endothelial Dysfunction in Patients With Heart Failure With Normal Left Ventricular Ejection Fraction显示文摘 | Eiichi Akiyama Seigo Sugiyama Yasushi Matsuzawa Masaaki Konishi Hiroyuki Suzuki Toshimitsu Nozaki Keisuke Ohba Junichi Matsubara Hirofumi Maeda Yoko Horibata Kenji Sakamoto Koichi Sugamura Megumi Yamamuro Hitoshi Sumida Koichi Kaikita Satomi Iwashita Kuni | 2012 | Journal of the American College of Cardiology2012，，18： | 1 |
| 3 | Analysis of Sentinel Node Involvement in Gastric Cancer显示文摘 | Daisaku Morita Hitoshi Tsuda Takashi Ichikura Mikihiko Kimura Shinsuke Aida Shigeru Kosuda Johji Inazawa Hidetaka Mochizuki Osamu Matsubara | 2007 | Clinical Gastroenterology and Hepatology2007，，9： | 1 |
| 4 | Three Minute, But Not One Minute, Ischemia and Nicorandil Have a Preconditioning Effect in Patients with Coronary Artery Disease显示文摘 | Tetsuo Matsubara Shinya Minatoguchi Hitoshi Matsuo | 2000 | J Am Coil Cardiol2000，35，2： | 1 |
| 5 | A Dipeptidyl Peptidase-4 Inhibitor, Des-Fluoro-Sitagliptin, Improves Endothelial Function and Reduces Atherosclerotic Lesion Formation in Apolipoprotein E–Deficient Mice显示文摘 | Junichi Matsubara Seigo Sugiyama Koichi Sugamura Taishi Nakamura Yukio Fujiwara Eiichi Akiyama Hirofumi Kurokawa Toshimitsu Nozaki Keisuke Ohba Masaaki Konishi Hirofumi Maeda Yasuhiro Izumiya Koichi Kaikita Hitoshi Sumida Hideaki Jinnouchi Kunihiko Matsui | 2012 | Journal of the American College of Cardiology2012，，3： | 1 |
| 6 | Clear Cell Adenocarcinoma Associated With Clear Cell Adenofibromatous Components: A Subgroup of Ovarian Clear Cell Adenocarcinoma With Distinct Clinicopathologic Characteristics显示文摘 | Sohei Yamamoto Hitoshi Tsuda Tomoyuki Yoshikawa Kazuya Kudoh Tsunekazu Kita Kenichi Furuya Seiichi Tamai Osamu Matsubara | 2007 | The American Journal of Surgical Pathology2007，，7： | 1 |
| 7 | Operation and Consideration of a Pipe Corrosion Inspection System Based on Human-in-the-Loop Machine Learning显示文摘The aim of this study is to improve the efficiency of external corrosion inspection of pipes in chemical plants.Currently,the preferred method involves manual inspection of images of corroded pipes;however,this places significant workload on human experts owing to the large number of required images.Furthermore,visual assessment of corrosion levels is prone to subjective errors.To address these issues,we developed an AI(artificial intelligence)-based corrosion-diagnosis system(AI corrosion-diagnosis system)and implemented it in a factory.The proposed system architecture was based on HITL(human-in-the-loop)ML(machine learning)[1].To overcome the difficulty of developing a highly accurate ML model during the PoC(proof-of-concept)stage,the system relies on cooperation between humans and the ML model,utilizing human expertise during operation.For instance,if the accuracy of the ML model was initially 60%during the development stage,a cooperative approach would be adopted during the operational stage,with humans supplementing the remaining 40%accuracy.The implemented system’s ML model achieved a recall rate of approximately 70%.The system’s implementation not only contributed to the efficiency of operations by supporting diagnosis through the ML model but also facilitated the transition to systematic data management,resulting in an overall workload reduction of approximately 50%.The operation based on HITL was demonstrated to be a crucial element for achieving efficient system operation through the collaboration of humans and ML models,even when the initial accuracy of the ML model was low.Future efforts will focus on improving the detection of corrosion at elevated locations by considering using video cameras to capture pipe images.The goal is to reduce the workload for inspectors and enhance the quality of inspections by identifying corrosion locations using ML models. | Toshihiro Shimbo Yousuke Okada Hitoshi Matsubara | 2023 | Journal of Mechanics Engineering and Automation2023，13，5： | 0 |
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