Shinya Okazaki 研究室
主宰者：Shinya Okazaki
順天堂大学
AI 要約（直近 5 年の研究成果）
要約はまだ生成されていません。
※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。
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関連研究室
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研究成果（68 件）
- DOI: https://doi.org/10.1253/circj.cj-25-0500
- DOI: https://doi.org/10.1007/s12928-025-01188-5
- DOI: https://doi.org/10.1093/ehjci/jeaf253
- DOI: https://doi.org/10.1001/jamacardio.2025.2611
- DOI: https://doi.org/10.1007/s00380-025-02569-9
- DOI: https://doi.org/10.1093/eurheartj/ehaf511
- DOI: https://doi.org/10.1007/s12928-025-01157-y
- [2025] High-resolution deep learning reconstruction to improve the accuracy of CT fractional flow reserveDOI: https://doi.org/10.1007/s00330-025-11707-w
- DOI: https://doi.org/10.2196/63797
- DOI: https://doi.org/10.1016/j.jjcc.2025.01.018
続きを表示（残り 58 件）閉じる
- DOI: https://doi.org/10.1093/ehjci/jeae333.463
- DOI: https://doi.org/10.1093/ehjopen/oeaf008
- [2024] Effects of CPAP on Atherosclerotic Coronary Plaques in Patients with Sleep-Disordered BreathingDOI: https://doi.org/10.1016/j.jacasi.2024.08.014
- DOI: https://doi.org/10.1002/ccd.31261
- DOI: https://doi.org/10.1186/s12933-024-02197-z
- [2024] Super-resolution deep learning reconstruction to improve image quality of coronary CT angiographyDOI: https://doi.org/10.1093/radadv/umae001
- DOI: https://doi.org/10.1161/circ.148.suppl_1.15025
- DOI: https://doi.org/10.1093/eurheartj/ehad655.1343
- DOI: https://doi.org/10.1093/eurheartj/ehad655.2057
- DOI: https://doi.org/10.1159/000532055
- DOI: https://doi.org/10.1016/j.ijcha.2023.101257
- DOI: https://doi.org/10.1016/j.amjcard.2023.07.143
- DOI: https://doi.org/10.1016/j.ijcard.2023.05.010
- DOI: https://doi.org/10.1007/s10557-023-07454-z
- DOI: https://doi.org/10.1007/s11239-023-02800-2
- DOI: https://doi.org/10.1186/s12968-023-00916-1
- DOI: https://doi.org/10.3390/jcm12020729
- DOI: https://doi.org/10.1016/j.jacasi.2022.08.014
- DOI: https://doi.org/10.1016/j.ijcha.2022.101163
- DOI: https://doi.org/10.1148/ryct.220147
- DOI: https://doi.org/10.1536/ihj.22-304
- DOI: https://doi.org/10.1161/jaha.122.026569
- DOI: https://doi.org/10.1161/circ.146.suppl_1.10001
- DOI: https://doi.org/10.1161/circ.146.suppl_1.11784
- DOI: https://doi.org/10.1161/circ.146.suppl_1.12333
- DOI: https://doi.org/10.1016/j.cca.2022.09.020
- DOI: https://doi.org/10.5551/jat.63535
- [2022] Coronary flow disturbance assessed by vorticity as a cause of functionally significant stenosisDOI: https://doi.org/10.1007/s00330-022-08974-2
- DOI: https://doi.org/10.1001/jamacardio.2022.1561
- DOI: https://doi.org/10.1002/ijc.34164
- DOI: https://doi.org/10.1016/j.ijcha.2022.101045
- DOI: https://doi.org/10.1038/s41598-022-09059-2
- DOI: https://doi.org/10.3390/jcm11020390
- DOI: https://doi.org/10.2139/ssrn.4213229
- DOI: https://doi.org/10.1002/ehf2.13715
- DOI: https://doi.org/10.1016/j.jjcc.2021.10.023
- DOI: https://doi.org/10.1161/circ.144.suppl_1.11840
- DOI: https://doi.org/10.1161/circ.144.suppl_1.10942
- DOI: https://doi.org/10.1161/circ.144.suppl_1.13183
- DOI: https://doi.org/10.1007/s10554-021-02456-0
- DOI: https://doi.org/10.1093/eurheartj/ehab724.1118
- DOI: https://doi.org/10.1093/eurheartj/ehab724.1204
- DOI: https://doi.org/10.1093/eurheartj/ehab724.1189
- DOI: https://doi.org/10.1093/eurheartj/ehab724.1190
- DOI: https://doi.org/10.3390/jcm10194398
- DOI: https://doi.org/10.1253/circrep.cr-21-0051
- DOI: https://doi.org/10.1016/j.atherosclerosis.2021.08.021
- DOI: https://doi.org/10.1002/ccd.29892
- DOI: https://doi.org/10.1536/ihj.20-816
- DOI: https://doi.org/10.1007/s12928-021-00792-5
- DOI: https://doi.org/10.1016/j.ijcha.2021.100815
- DOI: https://doi.org/10.1007/s00380-021-01863-6
- DOI: https://doi.org/10.1371/journal.pone.0248416
- DOI: https://doi.org/10.1016/j.ijcha.2021.100747
- DOI: https://doi.org/10.1093/ehjcr/ytab095
- DOI: https://doi.org/10.1007/s00380-021-01794-2
- DOI: https://doi.org/10.1186/s12872-021-01850-9
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所属学会・役職（0 件）
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