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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: nakamoto m. Int Heart J. 2021;62(6):1332-1341. doi: 10.1536/ihj.21-407. Int Heart J. 2021. PMID: 34853226 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: nakamoto m. 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.
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: nakamoto m. 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.
Automatic Detection of Left Ventricular Dilatation and Hypertrophy from Electrocardiograms Using Deep Learning.
Kokubo T, Kodera S, Sawano S, Katsushika S, Nakamoto M, Takeuchi H, Kimura N, Shinohara H, Matsuoka R, Nakanishi K, Nakao T, Higashikuni Y, Takeda N, Fujiu K, Daimon M, Akazawa H, Morita H, Matsuyama Y, Komuro I. Kokubo T, et al. Among authors: nakamoto m. Int Heart J. 2022 Sep 30;63(5):939-947. doi: 10.1536/ihj.22-132. Epub 2022 Sep 14. Int Heart J. 2022. PMID: 36104234 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: nakamoto m. PLoS One. 2021 Aug 5;16(8):e0255577. doi: 10.1371/journal.pone.0255577. eCollection 2021. PLoS One. 2021. PMID: 34351974 Free PMC article.
A single cell framework identifies functionally and molecularly distinct multipotent progenitors in adult human hematopoiesis.
Ediriwickrema A, Nakauchi Y, Fan AC, Köhnke T, Hu X, Luca BA, Kim Y, Ramakrishnan S, Nakamoto M, Karigane D, Linde MH, Azizi A, Newman AM, Gentles AJ, Majeti R. Ediriwickrema A, et al. Among authors: nakamoto m. bioRxiv [Preprint]. 2024 May 10:2024.05.07.592983. doi: 10.1101/2024.05.07.592983. bioRxiv. 2024. PMID: 38766031 Free PMC article. Preprint.
476 results