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Circulation Journal : Official Journal of the Japanese Circulation Society|April 14, 2024
Impact of High-Voltage Device Implantation in Elderly Japanese Patients With Heart Failure as Primary Prevention - Post Hoc Analysis of HINODEYoshinari Enomoto, Takanori Ikeda, Keijiro Nakamura, et al.
Circulation Journal : Official Journal of the Japanese Circulation Society|June 14, 2011
Antithrombotic therapy in atrial fibrillation: evaluation and positioning of new oral anticoagulant agentsSatoshi Ogawa, Yukihiro Koretsune, Masahiro Yasaka, et al.
International Journal of Cardiology|April 13, 2013
Incidence and predictors of the late catch-up phenomenon after drug-eluting stent implantationRaisuke Iijima, Tadashi Araki, Yoshinori Nagashima, et al.
Diabetologia|August 16, 2016
Anagliptin increases insulin-induced skeletal muscle glucose uptake via an NO-dependent mechanism in miceHiroyuki Sato, Naoto Kubota, Tetsuya Kubota, et al.
Diagnostics (Basel, Switzerland)|December 23, 2022
Risk of Mortality Prediction Involving Time-Varying Covariates for Patients with Heart Failure Using Deep LearningKeijiro Nakamura, Xue Zhou, Naohiko Sahara, et al.
Circulation Journal : Official Journal of the Japanese Circulation Society|October 11, 2021
Deep Learning-Based Recurrence Prediction of Atrial Fibrillation After Catheter AblationXue Zhou, Keijiro Nakamura, Naohiko Sahara, et al.
Journal of Atherosclerosis and Thrombosis|September 1, 2020
The Association of Cardio-Ankle Vascular Index (CAVI) with Biatrial Remodeling in Atrial FibrillationKeijiro Nakamura, Takahito Takagi, Norihiro Kogame, et al.
Journal of Cardiology Cases|December 8, 2018
Bilateral spontaneous renal artery dissectionTadashi Araki, Masato Nakamura, Takaaki Imamura, et al.
Pacing and Clinical Electrophysiology : PACE|September 18, 2014
Left axillary pacemaker generator implantation with a direct puncture of the left axillary veinMahito Noro, Xin Zhu, Takahito Takagi, et al.
Life (Basel, Switzerland)|June 24, 2022
Exploring and Identifying Prognostic Phenotypes of Patients with Heart Failure Guided by Explainable Machine LearningXue Zhou, Keijiro Nakamura, Naohiko Sahara, et al.
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