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Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis.
Ieki H, Ito K, Saji M, Kawakami R, Nagatomo Y, Takada K, Kariyasu T, Machida H, Koyama S, Yoshida H, Kurosawa R, Matsunaga H, Miyazawa K, Ozaki K, Onouchi Y, Katsushika S, Matsuoka R, Shinohara H, Yamaguchi T, Kodera S, Higashikuni Y, Fujiu K, Akazawa H, Iguchi N, Isobe M, Yoshikawa T, Komuro I. Ieki H, et al. Among authors: higashikuni y. Commun Med (Lond). 2022 Dec 9;2(1):159. doi: 10.1038/s43856-022-00220-6. Commun Med (Lond). 2022. PMID: 36494479 Free PMC article.
Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning.
Matsumoto T, Kodera S, Shinohara H, Ieki H, Yamaguchi T, Higashikuni Y, Kiyosue A, Ito K, Ando J, Takimoto E, Akazawa H, Morita H, Komuro I. Matsumoto T, et al. Among authors: higashikuni y. Int Heart J. 2020 Jul 30;61(4):781-786. doi: 10.1536/ihj.19-714. Epub 2020 Jul 18. Int Heart J. 2020. PMID: 32684597 Free article.
Erratum: Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning.
Matsumoto T, Kodera S, Shinohara H, Ieki H, Yamaguchi T, Higashikuni Y, Kiyosue A, Ito K, Ando J, Takimoto E, Akazawa H, Morita H, Komuro I. Matsumoto T, et al. Among authors: higashikuni y. Int Heart J. 2020;61(5):1088. doi: 10.1536/ihj.61-5_Errata. Int Heart J. 2020. PMID: 32999191 Free article.
Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies.
Katsushika S, Kodera S, Nakamoto M, Ninomiya K, Kakuda N, Shinohara H, Matsuoka R, Ieki H, Uehara M, Higashikuni Y, Nakanishi K, Nakao T, Takeda N, Fujiu K, Daimon M, Ando J, Akazawa H, Morita H, Komuro I. Katsushika S, et al. Among authors: higashikuni y. Circ J. 2021 Dec 24;86(1):87-95. doi: 10.1253/circj.CJ-21-0265. Epub 2021 Jun 26. Circ J. 2021. PMID: 34176867 Free article.
Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries.
Shinohara H, Kodera S, Ninomiya K, Nakamoto M, Katsushika S, Saito A, Minatsuki S, Kikuchi H, Kiyosue A, Higashikuni Y, Takeda N, Fujiu K, Ando J, Akazawa H, Morita H, Komuro I. Shinohara H, et al. Among authors: higashikuni y. PLoS One. 2021 Aug 5;16(8):e0255577. doi: 10.1371/journal.pone.0255577. eCollection 2021. PLoS One. 2021. PMID: 34351974 Free PMC article.
Deep learning model to detect significant aortic regurgitation using electrocardiography.
Sawano S, Kodera S, Katsushika S, Nakamoto M, Ninomiya K, Shinohara H, Higashikuni Y, Nakanishi K, Nakao T, Seki T, Takeda N, Fujiu K, Daimon M, Akazawa H, Morita H, Komuro I. Sawano S, et al. Among authors: higashikuni y. J Cardiol. 2022 Mar;79(3):334-341. doi: 10.1016/j.jjcc.2021.08.029. Epub 2021 Sep 17. J Cardiol. 2022. PMID: 34544652 Free article.
The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from Electrocardiograms.
Katsushika S, Kodera S, Nakamoto M, Ninomiya K, Inoue S, Sawano S, Kakuda N, Takiguchi H, Shinohara H, Matsuoka R, Ieki H, Higashikuni Y, Nakanishi K, Nakao T, Seki T, Takeda N, Fujiu K, Daimon M, Akazawa H, Morita H, Komuro I. Katsushika S, et al. Among authors: higashikuni y. Int Heart J. 2021;62(6):1332-1341. doi: 10.1536/ihj.21-407. Int Heart J. 2021. PMID: 34853226 Free article.
64 results