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63) Nishimura A, Kasai T, Matsumura K, Kikuno S, Nagasawa K, Okubo M, Narui K, Mori Y: Sleep disordered breathing during rapid eye movement sleep and diabetic kidney disease in patients with type 2 diabetes. J Clin Sleep Med, 2020. [Online ahead of print] 64) Sato A, Kato T, Kasai T, Ishiwata1 S, Yatsu S, Matsumoto H, Shitara J, Murata A, Shimizu M, Suda S, Matsue Y, Naito R, Hiki M, Daida H: Relationship between inflammatory biomarkers and sleep-disordered breathing in patients with heart failure. Sleep Biol Rhythms, 2020. [Online ahead of print] 65) Sata N, Inoshita A, Suda S, Shiota S, Shiro-shita N, Kawana F, Suzuki Y, Matsumoto F, Ikeda K, Kasai T: Clinical, polysomnographic, and cephalometric features of obstructive sleep apnea with AHI over 100. Sleep Breath, 2020. [Online ahead of print] 66) Ishiwata S, Kato T, Kasai T, Sato A, Yatsu S, Matsumoto H, Shitara J, Murata A, Shimizu M, Suda S, Matsue Y, Naito R, HIki M, Daida H: Changes in self-reported physical activity and health-related quality of life following 3-month astaxanthin supplementation in patients with heart failure: results from a pilot study. Ann Palliat Med, 2020; apm-20-1378. 67) Kumamaru KK, Fujimoto S, Otsuka Y, Kawa-saki T, Kawaguchi Y, Kato E, Takamura K, Aoshima C, Kamo Y, Kogure Y, Inage H, Daida H, Aoki S: Diagnostic accuracy of 3D deep-learning-based fully automated estima-tion of patient-level minimum fractional flow reserve from coronary computed tomog-raphy angiography. Eur Heart J Cardiovasc imaging, 2020; 21: 437-445. 68) Kato E, Fujimoto S, Kumamaru KK, Kawa-guchi YO, Dohi T, Aoshima C, Kamo Y, Takamura K, Kato Y, Hiki M, Okai I, Okazaki S, Aoki S, Daida H: Adjustment of CT-frac-tional flow reserve based on fluid-structure interaction underestimation to minimize 1- year cardiac events. Heart Vessels, 2020; 35: 162-169. 69) Kawasaki T, Kido M, Kido T, Sueta D, Fujimoto S, Kumamaru KK, Uetani T, Tanabe Y, Ueda T, Sakabe D, Oda S, Yamashiro T, Tsujita K, Kato S, Yuki H, Utsunomiya D: Evaluation of Significant Coronary Artery Disease Based on CT Fractional Flow Reserve and Plaque Characteristics Using Random Forest Anal-ysis in Machine Learning. Acad Radiol, 2020; 27: 1700-1708. 70) Arakawa H, Tomizawa N, Chou S, Matsuoka S, Yamamoto K, Inoh S, Nojo T, Kumamaru KK, Fujimoto S, Nakamura S: Low Iodine Dose is Related with Overestimation of Extracellular Volume Derived from Cardiac CT. Cardiovasc Imaging Asia, 2020; 4: 38-44.* 71) Kamo Y, Fujimoto S, Aoshima C, Kawaguchi YO, Nozaki Y, Kudo A, Takahashi D, Takamura K, Hiki M, Tomizawa N, Kumamaru KK, Aoki S, Daida H: A Study on The Prevalence, Distribution and Related Factors of Heart Valve Calcification Using coronary CT Angi-ography. Int J Cardiol Heart Vasc, 2020; 29: 100571. 72) Podgorsak A, Sommer K, Reddy A, Iyer V, Wilson M, Rybicki F, Mitsouras D, Sharma U, Fujimoto S, Kumamaru KK, Angel E, Ionita C: Initial evaluation of a convolutional neural network used for non-invasive assessment of coronary artery disease severity from coro-nary computed tomography angiography data. Medical Physics, 2020; 47: 3996-4004. 73) Tomizawa N, Chou S, Fujino Y, Matsuoka S, Yamamoto K, Inoh S, Nojo T, Kumamaru KK, Fujimoto S, Nakamura S: Impact of Abnormal Remote Stress Myocardial Blood Flow by Dynamic CT Perfusion on Clinical Outcomes. Sci Rep, 2020; 10: 10244. 74) Yamamoto H, Kihara Y, Fujimoto S, Daida H, Kobuke K, Iwanaga Y, Miyazaki S, Kawasaki T, Fujii T, Kuribayashi S: Predictive value of the coronary artery calcium score and advanced plaque characteristics: Post hoc analysis of the PREDICT registry. J Cardio-vasc Comput Tomogr, 2020 in press. 75) Sommer KN, Shepard LM, Mitsouras D, Iyer V, Angel E, Wilson MF, Rybicki FJ, Kumamaru KK, Sharma UC, Reddy A, Fujimoto S, Ionita CN: Patient-specific 3D-printed coronary models based on coronary computed tomog-raphy angiography volumes to investigate flow conditions in coronary artery disease. Biomed. Phys. Eng. Express, 2020 in press. 76) Doi S, Kasai T, Yatsu S, Miyazaki S, Fujimoto 421

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