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Kota Ninomiya
Kota Ninomiya
在 g.ecc.u-tokyo.ac.jp 的电子邮件经过验证
标题
引用次数
引用次数
年份
Relationship of test positivity rates with COVID-19 epidemic dynamics
Y Furuse, YK Ko, K Ninomiya, M Suzuki, H Oshitani
International journal of environmental research and public health 18 (9), 4655, 2021
332021
Deep learning algorithm to detect cardiac sarcoidosis from echocardiographic movies
S Katsushika, S Kodera, M Nakamoto, K Ninomiya, N Kakuda, ...
Circulation Journal 86 (1), 87-95, 2021
262021
Deep learning model to detect significant aortic regurgitation using electrocardiography
S Sawano, S Kodera, S Katsushika, M Nakamoto, K Ninomiya, ...
Journal of cardiology 79 (3), 334-341, 2022
252022
Roles of children and adolescents in COVID-19 transmission in the community: a retrospective analysis of nationwide data in Japan
T Imamura, M Saito, YK Ko, T Imamura, K Otani, H Akaba, K Ninomiya, ...
Frontiers in pediatrics 9, 705882, 2021
252021
Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries
H Shinohara, S Kodera, K Ninomiya, M Nakamoto, S Katsushika, A Saito, ...
Plos one 16 (8), e0255577, 2021
182021
Secondary transmission of SARS-CoV-2 during the first two waves in Japan: Demographic characteristics and overdispersion
YK Ko, Y Furuse, K Ninomiya, K Otani, H Akaba, R Miyahara, T Imamura, ...
International Journal of Infectious Diseases 116, 365-373, 2022
152022
The effectiveness of a deep learning model to detect left ventricular systolic dysfunction from electrocardiograms
S Katsushika, S Kodera, M Nakamoto, K Ninomiya, S Inoue, S Sawano, ...
International Heart Journal 62 (6), 1332-1341, 2021
142021
Nationwide comprehensive epidemiological study of rare diseases in Japan using a health insurance claims database
K Ninomiya, M Okura
Orphanet Journal of Rare Diseases 17 (1), 140, 2022
132022
Machine Learning–Based Personalized Prediction of Hepatocellular Carcinoma Recurrence After Radiofrequency Ablation
M Sato, R Tateishi, M Moriyama, T Fukumoto, T Yamada, R Nakagomi, ...
Gastro Hep Advances 1 (1), 29-37, 2022
62022
Self-supervised contrastive learning for electrocardiograms to detect left ventricular systolic dysfunction
M Nakamoto, S Kodera, H Takeuchi, S Sawano, S Katsushika, ...
Proceedings of the Annual Conference of JSAI, vol. JSAI2022, 1-7, 2022
42022
Integration of publicly available case-based data for real-time coronavirus disease 2019 risk assessment, Japan
K Ninomiya, M Kanamori, N Ikeda, K Jindai, YK Ko, K Otani, Y Furuse, ...
Western Pacific surveillance and response journal: WPSAR 13 (1), 1, 2022
22022
臨床試験 (治験) に対する患者のイメージに関するアンケート調査: 分析とその後の社会啓発
江本駿, 仁宮洸太, 西村由希子
研究・イノベーション学会, 2020
12020
Choosing preferable labels for the Japanese translation of the Human Phenotype Ontology
K Ninomiya, T Takatsuki, T Kushida, Y Yamamoto, S Ogishima
Genomics & informatics 18 (2), 2020
12020
Time-varying overdispersion of SARS-CoV-2 transmission during the periods when different variants of concern were circulating in Japan
YK Ko, Y Furuse, K Otani, M Yamauchi, K Ninomiya, M Saito, T Imamura, ...
Scientific Reports 13 (1), 13230, 2023
2023
Large language models to differentiate vasospastic angina using patient information
Y Kiyohara, S Kodera, M Sato, K Ninomiya, M Sato, H Shinohara, ...
medRxiv, 2023.06. 26.23291913, 2023
2023
患者情報から冠攣縮性狭心症を判別する自然言語処理人工知能モデル
清原悠嵩, 小寺聡, 仁宮洸太, 澤野晋之介, 勝然進, 篠原宏樹, 安東治郎, ...
心臓 54 (11), 1235-1242, 2022
2022
症例情報管理システムの構築と公開
地引芳乃, 浅野由衣, 仁宮洸太, 申在紋, 佐々木貴規, 菊池敦生, ...
(No Title), 1, 2022
2022
DTC 遺伝子検査サービスの情報を用いた日本人集団における希少難治性疾患関連遺伝子 (CFTR, GBA, BRCA1, BRCA2) の頻度解析とその有効性に関する検証
仁宮洸太, 野川駿, 髙橋祥子, 大倉政宏
医療情報学 42 (1), 17-25, 2022
2022
COVID-19 の疫学的特徴と自治体公開情報を用いた解析
今村剛朗, 仁宮洸太, 押谷仁
Bio clinica= バイオクリニカ 37 (13), 1168-1172, 2022
2022
医療 AI に対する患者の意識調査
小寺聡, 仁宮洸太, 澤野晋之介, 勝然進, 篠原宏樹, 赤澤宏, 小室一成
人工知能学会全国大会論文集 第 36 回 (2022), 2K6OS1b04-2K6OS1b04, 2022
2022
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